diff --git a/.Rbuildignore b/.Rbuildignore new file mode 100644 index 0000000..daebf37 --- /dev/null +++ b/.Rbuildignore @@ -0,0 +1 @@ +^README\.Rmd$ \ No newline at end of file diff --git a/README.Rmd b/README.Rmd new file mode 100644 index 0000000..85110e5 --- /dev/null +++ b/README.Rmd @@ -0,0 +1,461 @@ +--- +output: github_document +--- + + + +```{r setup, include = FALSE, error=TRUE, message=FALSE, warning=FALSE} +knitr::opts_chunk$set(echo = TRUE, + comment = "#>", + collapse = TRUE, + error = TRUE, + warning = FALSE, + message = FALSE, + fig.align = 'center' + ) +``` + + +# volve-reservoir-model-evolution + +```{r read-prt-file} +library(dplyr) +library(ggplot2) + +# read the Eclipse PRT output report +proj_root <- rprojroot::find_rstudio_root_file() +# had to zip the PRT file because it's 225 MB and too big for Github +volve_2016_zip <- file.path(proj_root, "inst/rawdata", "VOLVE_2016.zip") +temp <- tempdir() + +volve_2016_txt <- readLines(unzip(volve_2016_zip, exdir = temp)) +``` + + +```{r} +# get a list of rows from " STEP" + +# find the rows where we find the word " STEP" +step_rows <- grep("^ STEP", volve_2016_txt) + +# add rows ahead to where the keyword was found +step_info_range <- lapply(seq_along(step_rows), function(x) + c(step_rows[x], step_rows[x]+1:2)) # add two extra row indices + +step_info_range[[1]] # sample for report page 1 only +``` + +These extra row indices are lines of text where the report keep more information of the evolution of the simulation. Here is a couple of screenhots. + +Step at day `1`: + +```{r, out.width = "600px", fig.cap="Step at 1 day", echo=FALSE} +knitr::include_graphics("img/step_0001.png") +``` + +Step at day `3,197`: + +```{r, out.width = "600px", fig.cap="Step at 3197 days", , echo=FALSE} +knitr::include_graphics("img/step_3197.png") +``` + +Now, knowing the row indices for the text we need from the `PRT` file, we can proceed to extracting those lines of text and putting them in a list, one page, or one step, per list element. We do this to later iterate through all the steps and extract the data we want. + + +```{r} +# get the text from all pages and put them in a list +steps_info_txt_pages <- lapply(seq_along(step_info_range), function(x) + volve_2016_txt[step_info_range[[x]]]) +``` + + +## Extracting step data from the text file + +### Extract the days +Although we could extract all the data we require from the text file in one go, it is better to see one or two examples of seeing __regular expressions__ or __regex__ at work. Regular expressions are practically available to all programming languages: C++, Java, JavaScript, Python, Perl, etc. + +In this first example, we will extract the number of days at the current simulation step. If this is the first step page: + +``` + STEP 1 TIME= 1.00 DAYS ( +1.0 DAYS INIT 5 ITS) (1-JAN-2008) + PAV= 329.6 BARSA WCT= 0.00 GOR= 0.00000 SM3/SM3 WGR= 0.00000 SM3/SM3 +``` + +to extract the days we have to provide a regex pattern that detects a real number like `1.00`, which is `".*?(\\d+.\\d.)+.*"`. + +__Explanation__ + +* `.*?` will match any characters. lazy matching. +* `(\\d+.\\d.)` capturing group. +* `\\d+` matches any number of digits +* `\\d.` matches a digit and then any character + + +```{r rows.print=20} +# iterate through the list of STEP pages +days_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # put all pages text in a list + days_row_txt <- page[1] # get 1st row of page + days_value <- sub(".*?(\\d+.\\d.)+.*", "\\1", days_row_txt, + perl = TRUE) # extract the days + + # dataframe; days as double; no factors. + data.frame(days = as.double(days_value), stringsAsFactors = FALSE) +}) + +days_df <- do.call("rbind", days_dfs) +rbind(head(days_df, 10), tail(days_df, 10)) # show the first 10 and last 10 rows +``` + +### Extract the date + +This regular expresion pattern extracts the date from the current text line. + +__Explanation__ +* `.*?(\\d{1,2}-[A-Z]{3}-\\d{4}).` entire regex pattern +* `(\\d{1,2}-[A-Z]{3}-\\d{4})` parenthesis indicate a group to extract the date +* `.*?` match any character +* `\\d{1,2}` match one or two digits (day) +* `-[A-Z]{3}` match a dash followed by three letters (month) +* `-\\d{4}` match four digits (year) + + +```{r rows.print=20} +# iterate through the list of pages: dates +date_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # put all pages text in a list + date_row_txt <- grep(" STEP", page) # get row index at word STEP + date_value <- sub(".*?(\\d{1,2}-[A-Z]{3}-\\d{4}).", "\\1", page[date_row_txt]) + + # dataframe; no factors + data.frame(date = date_value, stringsAsFactors = FALSE) +}) + +date_df <- do.call("rbind", date_dfs) + +# size of the dataframe: rows by columns +dim(date_df) + +rbind(head(date_df, 10), tail(date_df, 10)) # show the first 10 and last 10 rows +``` + +## Extract values from the __STEP__ block +After show this pair of example we continue with the extraction of the rest of the values. These are variables to be extracted: + +* `STEP` simulation step number +* `TIME` number of days elpased at the simulation step +* `date` current date at the simulation run +* `PAV` average pressure +* `WCT` watercut +* `GOR` gas oil ratio +* `WGR` water gas ratio + + +The mission here is to extract all the variables that are made available by the simulator in the STEP block. As shown above, they are seven variables. + +```{r rows.print=50} +library(lubridate) + +# get the row indices where we find the keyword " STEP" +step_rows <- grep("^ STEP", volve_2016_txt) + +# get rows ahead range. by block of text or per page +# in the case of the STEP block we are only interested in the next two rows +step_info_range <- lapply(seq_along(step_rows), function(x) + c(step_rows[x], step_rows[x]+1:2)) + +# get the text from all STEP pages and store each in a list element +steps_info_txt_pages <- lapply(seq_along(step_info_range), function(x) + volve_2016_txt[step_info_range[[x]]]) + +# iterate through the list of pages for the STEP blocks in the report +step_info_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # load a STEP block/page + + # this is line 1 + row_txt <- grep(" STEP", page) # line 1 starts with STEP + # pattern extraction for 1st line of text: STEP, TIME, date + line_1_pattern <- ".*?(\\d+)+.*?(\\d+.\\d+)+.*?(\\d+)+.*?(\\d{1,2}-[A-Z]{3}-\\d{4})+.*" + step_value <- sub(line_1_pattern, "\\1", page[row_txt], perl = TRUE) # extract step + days_value <- sub(line_1_pattern, "\\2", page[row_txt], perl = TRUE) # extract days + date_value <- sub(line_1_pattern, "\\4", page[row_txt], perl = TRUE) # extract date + + + # this is line 2 + row_txt <- grep(" PAV", page) # line 2 starts with PAV= + # pattern extraction for 2nd line of text: PAV, WCT, GOR, WGR + line_2_pattern <- ".*?(\\d+.\\d+)+.*?(\\d+.\\d+)+.*?(\\d+.\\d+)+.*?(\\d+.\\d+).*" + pav_value <- sub(line_2_pattern, "\\1", page[row_txt], perl = TRUE) # Get avg pres + wct_value <- sub(line_2_pattern, "\\2", page[row_txt], perl = TRUE) # get WCT + gor_value <- sub(line_2_pattern, "\\3", page[row_txt], perl = TRUE) # get GOR + wgr_value <- sub(line_2_pattern, "\\4", page[row_txt], perl = TRUE) # get WGR + + # dataframe; + data.frame(step = as.integer(step_value), + date = dmy(date_value), + time_days = as.double(days_value), + pav_bar = as.double(pav_value), + wct_pct = as.double(wct_value), + gor_m3m3 = as.double(gor_value), + wgr_m3m3 = as.double(wgr_value), + stringsAsFactors = FALSE) +}) + +step_info <- do.call("rbind", step_info_dfs) # put together all dataframes in list + +# show a summary of the dataframe +glimpse(step_info) +``` + +```{r} +# first ten rows +as_tibble(step_info) +``` + +Let's test the first day and last day of the simulation: + +```{r} +tail(step_info$date,1) - head(step_info$date,1) +``` + +### Plot pressure vs time + +```{r} +ggplot(step_info, aes(x =date, y = pav_bar)) + + geom_line() +``` + + +## Merge cumulative oil wth simulator steps + +```{r} + +``` + + +```{r rows.print=25} +library(dplyr) +library(lubridate) + +# find the rows where we find the word "BALANCE AT" +balance_rows <- grep("^.*BALANCE AT", volve_2016_txt) + +# add rows ahead to where the word BALANCE AT was found +field_totals_range <- lapply(seq_along(balance_rows), function(x) + c(balance_rows[x], balance_rows[x]+1:21)) + +# try different strategy +# iterating through the report pages in FIELD TOTALS +# get: +# days, oil currently in place, oil originally in place, +# oil outflow through wells + +# get the text from all pages and put them in a list +field_totals_report_txt <- lapply(seq_along(field_totals_range), function(x) + volve_2016_txt[field_totals_range[[x]]]) + +# iterate through the list of pages +field_totals_dfs <- lapply(seq_along(field_totals_report_txt), function(x) { + page <- field_totals_report_txt[[x]] # put all pages text in a list + days_row_txt <- page[1] # get 1st row of page + days_value <- sub(".*?(\\d+.\\d.)+.*", "\\1", days_row_txt) # extract the days + + # get the date + date_row_txt <- grep("^.*REPORT", page) + date_value <- sub(".*?(\\d{1,2} [A-Z]{3} \\d{4})+.*", "\\1", page[date_row_txt]) + date_value <- sub("JLY", "JUL", date_value) # change JLY by JUL + + # get oil currently in place + ocip_row_txt <- grep("^.*:CURRENTLY IN PLACE", page) + ocip_value <- sub(".*?(\\d+.)+.*", "\\1", page[ocip_row_txt]) + + # get OOIP + ooip_row_txt <- grep("^.*:ORIGINALLY IN PLACE", page) + ooip_value <- sub(".*?(\\d+.)+.*", "\\1", page[ooip_row_txt]) + + # get total fluid outflow through wells + otw_row_txt <- grep("^.*:OUTFLOW THROUGH WELLS", page) # row index at this line + otw_group_pattern <- ".*?(\\d+.)+.*?(\\d+.)+.*?(\\d+.)+.*" # groups + oil_otw_value <- sub(otw_group_pattern, "\\1", page[otw_row_txt]) # get oil outflow + wat_otw_value <- sub(otw_group_pattern, "\\2", page[otw_row_txt]) # get gas outflow + gas_otw_value <- sub(otw_group_pattern, "\\3", page[otw_row_txt]) # get water + + # get pressure + pav_row_txt <- grep("PAV =", page) + pav_value <- sub(".*?(\\d+.\\d.)+.*", "\\1", page[pav_row_txt]) + + # dataframe + data.frame( + date = dmy(date_value), + days = as.integer(days_value), + ocip = as.double(ocip_value), + ooip = as.double(ooip_value), + oil_otw = as.double(oil_otw_value), + wat_otw = as.double(wat_otw_value), + gas_otw = as.double(gas_otw_value), + pav = as.double(pav_value), + stringsAsFactors = FALSE + ) +}) + +(field_totals <- do.call("rbind", field_totals_dfs)) +``` + +Now, we know that the STEP dataframe has more rows than the BALANCE-AT dataframe. What we want is to correlate the step with the oil cumulatives. + +```{r rows.print=50} +step_totals <- +left_join(step_info, field_totals, by = "date") %>% + na.omit() %>% + select(date, time_days, days, everything()) %>% + print +``` + +```{r} +ggplot(step_totals, aes(x = date, y = oil_otw)) + + geom_line() + + ggtitle("Cumulative Oil, sm3", subtitle = "Simulator") +``` + +## Difference with historical production + +```{r} +library(xlsx) # library to read Excel files in R + +# read the Excel file +proj_root <- rprojroot::find_rstudio_root_file() # get the project root folder +xl_file <- file.path(proj_root, "inst/rawdata", "Volve production data.xlsx") +# read only the monthly production +prod_hist <- read.xlsx(xl_file, sheetName = "Monthly Production Data") +prod_hist +``` + +```{r} +hist_cum_oil <- +prod_hist %>% + mutate(Oil = as.character(Oil)) %>% + mutate(Oil = as.double(Oil)) %>% + mutate(Year = as.integer(as.character(Year))) %>% + mutate(Month = as.integer(as.character(Month))) %>% + rename(year = Year, month = Month, oil = Oil) %>% + na.omit() %>% + group_by(year, month) %>% + summarise(vol_oil = sum(oil)) %>% + mutate(date = ymd(paste(year, month, "01", sep = "-"))) %>% + arrange(date) %>% + ungroup() %>% + select(date, vol_oil) %>% + mutate(cum_oil = cumsum(vol_oil)) %>% + + print() +``` + +```{r} +df <- data.frame(date= seq.Date(as.Date("2008-01-01"), as.Date("2016-10-01"), + by = "month"), + cum_oil = 0) +df +``` + +```{r} +# historical production +# merge incomplete dataframe and complete with dates +hist_cum_oil <- +left_join(df, hist_cum_oil, by = "date") %>% + tidyr::replace_na(list(cum_oil.y = 0)) %>% + mutate(cum_oil = cum_oil.x + cum_oil.y) %>% + select(date, cum_oil) %>% + print +``` + + +```{r} +# cumulative oil from historical production +ggplot(hist_cum_oil, aes(x = date, y = cum_oil)) + + geom_line() + + geom_col(color = "dark green", fill = "dark green", alpha = 0.35) + + ggtitle("Cumulative Oil, sm3", subtitle = "Historical Production") +``` + +```{r} +ggplot(hist_cum_oil, aes(x = date, y = cum_oil)) + + geom_line(color = "dark green") + + geom_line(data = step_totals, aes(x = date, y = oil_otw)) +``` + +```{r} +# historical production +hist_cum_oil <- +hist_cum_oil %>% + mutate(source = "historical") %>% + select(date, cum_oil, source) %>% + mutate(cum_oil = ifelse(cum_oil == 0, lag(cum_oil, default=0), cum_oil)) %>% + print() +``` + +```{r rows.print=50} +# step field totals +sim_cum_oil <- +step_totals %>% + select(date, oil_otw) %>% + mutate(oil_this_period = oil_otw - lag(oil_otw, default = 0)) %>% + mutate(year = year(date), month = month(date)) %>% + group_by(year, month) %>% + summarize(vol_oil = sum(oil_this_period)) %>% + ungroup() %>% + mutate(date = ymd(paste(year, month, "01", sep = "-"))) %>% + mutate(source = "simulator") %>% + mutate(cum_oil = cumsum(vol_oil)) %>% + select(date, cum_oil, source) %>% + print() +``` + +```{r} +# simulator production +# merge incomplete dataframe and complete with dates +sim_cum_oil <- +left_join(df, sim_cum_oil, by = "date") %>% + tidyr::replace_na(list(cum_oil.y = 0)) %>% + mutate(cum_oil = cum_oil.x + cum_oil.y) %>% + select(date, cum_oil) %>% + mutate(source = "simulator") %>% + mutate(cum_oil = ifelse(cum_oil == 0, lag(cum_oil, default = 0), cum_oil)) %>% + print +``` + + +```{r} +hist_cum_oil_break <- +hist_cum_oil %>% + mutate(cum_oil_hist = cum_oil) %>% + select(date, cum_oil_hist) %>% + print() +# cum_oil_bind <- cbind(hist_cum_oil, sim_cum_oil) +# cum_oil_bind + +sim_cum_oil_break <- +sim_cum_oil %>% + mutate(cum_oil_sim = cum_oil) %>% + select(date, cum_oil_sim) %>% + print() + +cum_oil_bind <- full_join(hist_cum_oil_break, sim_cum_oil_break, by = "date") +cum_oil_bind +``` + +## How close cumulative productions are + +```{r} +# Volve reservoir model dataset +# plot historical vs simulator cum_oil +cols <- c("simulator"="red", "historical"="dark green") +ggplot(cum_oil_bind) + + geom_ribbon(aes(x = date, ymin= cum_oil_sim, ymax= cum_oil_hist), + fill = "orange", alpha = 0.35) + + geom_line(aes(x = date, y = cum_oil_sim, color = "simulator")) + + geom_line(aes(x = date, y = cum_oil_hist, color = "historical")) + + labs(title = "Volve reservoir model. Comparison Cumulative Oil", + subtitle = "Historical vs Simulator", + y = "cumulative oil, sm3") + + scale_color_manual(name = "Curve", values = cols) +``` diff --git a/README.md b/README.md new file mode 100644 index 0000000..42a8f8e --- /dev/null +++ b/README.md @@ -0,0 +1,3677 @@ + + + +# volve-reservoir-model-evolution + +``` r +library(dplyr) +library(ggplot2) + +# read the Eclipse PRT output report +proj_root <- rprojroot::find_rstudio_root_file() +# had to zip the PRT file because it's 225 MB and too big for Github +volve_2016_zip <- file.path(proj_root, "inst/rawdata", "VOLVE_2016.zip") +temp <- tempdir() + +volve_2016_txt <- readLines(unzip(volve_2016_zip, exdir = temp)) +``` + +``` r +# get a list of rows from " STEP" + +# find the rows where we find the word " STEP" +step_rows <- grep("^ STEP", volve_2016_txt) + +# add rows ahead to where the keyword was found +step_info_range <- lapply(seq_along(step_rows), function(x) + c(step_rows[x], step_rows[x]+1:2)) # add two extra row indices + +step_info_range[[1]] # sample for report page 1 only +#> [1] 1548178 1548179 1548180 +``` + +These extra row indices are lines of text where the report keep more +information of the evolution of the simulation. Here is a couple of +screenhots. + +Step at day +`1`: + +Step at 1 day + +Step at day +`3,197`: + +Step at 3197 days + +Now, knowing the row indices for the text we need from the `PRT` file, +we can proceed to extracting those lines of text and putting them in a +list, one page, or one step, per list element. We do this to later +iterate through all the steps and extract the data we want. + +``` r +# get the text from all pages and put them in a list +steps_info_txt_pages <- lapply(seq_along(step_info_range), function(x) + volve_2016_txt[step_info_range[[x]]]) +``` + +## Extracting step data from the text file + +### Extract the days + +Although we could extract all the data we require from the text file in +one go, it is better to see one or two examples of seeing **regular +expressions** or **regex** at work. Regular expressions are practically +available to all programming languages: C++, Java, JavaScript, Python, +Perl, etc. + +In this first example, we will extract the number of days at the current +simulation step. If this is the first step +page: + +``` + STEP 1 TIME= 1.00 DAYS ( +1.0 DAYS INIT 5 ITS) (1-JAN-2008) + PAV= 329.6 BARSA WCT= 0.00 GOR= 0.00000 SM3/SM3 WGR= 0.00000 SM3/SM3 +``` + +to extract the days we have to provide a regex pattern that detects a +real number like `1.00`, which is `".*?(\\d+.\\d.)+.*"`. + +**Explanation** + + - `.*?` will match any characters. lazy matching. + - `(\\d+.\\d.)` capturing group. + - `\\d+` matches any number of digits + - `\\d.` matches a digit and then any character + + + +``` r +# iterate through the list of STEP pages +days_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # put all pages text in a list + days_row_txt <- page[1] # get 1st row of page + days_value <- sub(".*?(\\d+.\\d.)+.*", "\\1", days_row_txt, + perl = TRUE) # extract the days + + # dataframe; days as double; no factors. + data.frame(days = as.double(days_value), stringsAsFactors = FALSE) +}) + +days_df <- do.call("rbind", days_dfs) +rbind(head(days_df, 10), tail(days_df, 10)) # show the first 10 and last 10 rows +#> days +#> 1 1.00 +#> 2 1.63 +#> 3 2.32 +#> 4 3.50 +#> 5 5.45 +#> 6 8.22 +#> 7 11.00 +#> 8 14.61 +#> 9 17.80 +#> 10 21.00 +#> 1601 1601.00 +#> 1602 1602.00 +#> 1603 1603.00 +#> 1604 1604.00 +#> 1605 1605.00 +#> 1606 1606.00 +#> 1607 1607.00 +#> 1608 1608.00 +#> 1609 1609.00 +#> 1610 1610.00 +``` + +### Extract the date + +This regular expresion pattern extracts the date from the current text +line. + +**Explanation** +\* `.*?(\\d{1,2}-[A-Z]{3}-\\d{4}).` entire regex pattern +\* `(\\d{1,2}-[A-Z]{3}-\\d{4})` parenthesis indicate a group to extract +the date +\* `.*?` match any character +\* `\\d{1,2}` match one or two digits (day) +\* `-[A-Z]{3}` match a dash followed by three letters (month) +\* `-\\d{4}` match four digits (year) + +``` r +# iterate through the list of pages: dates +date_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # put all pages text in a list + date_row_txt <- grep(" STEP", page) # get row index at word STEP + date_value <- sub(".*?(\\d{1,2}-[A-Z]{3}-\\d{4}).", "\\1", page[date_row_txt]) + + # dataframe; no factors + data.frame(date = date_value, stringsAsFactors = FALSE) +}) + +date_df <- do.call("rbind", date_dfs) + +# size of the dataframe: rows by columns +dim(date_df) +#> [1] 1610 1 + +rbind(head(date_df, 10), tail(date_df, 10)) # show the first 10 and last 10 rows +#> date +#> 1 1-JAN-2008 +#> 2 1-JAN-2008 +#> 3 2-JAN-2008 +#> 4 3-JAN-2008 +#> 5 5-JAN-2008 +#> 6 8-JAN-2008 +#> 7 11-JAN-2008 +#> 8 14-JAN-2008 +#> 9 17-JAN-2008 +#> 10 21-JAN-2008 +#> 1601 17-SEP-2016 +#> 1602 20-SEP-2016 +#> 1603 20-SEP-2016 +#> 1604 20-SEP-2016 +#> 1605 20-SEP-2016 +#> 1606 21-SEP-2016 +#> 1607 23-SEP-2016 +#> 1608 25-SEP-2016 +#> 1609 28-SEP-2016 +#> 1610 1-OCT-2016 +``` + +## Extract values from the **STEP** block + +After show this pair of example we continue with the extraction of the +rest of the values. These are variables to be extracted: + + - `STEP` simulation step number + - `TIME` number of days elpased at the simulation step + - `date` current date at the simulation run + - `PAV` average pressure + - `WCT` watercut + - `GOR` gas oil ratio + - `WGR` water gas ratio + +The mission here is to extract all the variables that are made available +by the simulator in the STEP block. As shown above, they are seven +variables. + +``` r +library(lubridate) + +# get the row indices where we find the keyword " STEP" +step_rows <- grep("^ STEP", volve_2016_txt) + +# get rows ahead range. by block of text or per page +# in the case of the STEP block we are only interested in the next two rows +step_info_range <- lapply(seq_along(step_rows), function(x) + c(step_rows[x], step_rows[x]+1:2)) + +# get the text from all STEP pages and store each in a list element +steps_info_txt_pages <- lapply(seq_along(step_info_range), function(x) + volve_2016_txt[step_info_range[[x]]]) + +# iterate through the list of pages for the STEP blocks in the report +step_info_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # load a STEP block/page + + # this is line 1 + row_txt <- grep(" STEP", page) # line 1 starts with STEP + # pattern extraction for 1st line of text: STEP, TIME, date + line_1_pattern <- ".*?(\\d+)+.*?(\\d+.\\d+)+.*?(\\d+)+.*?(\\d{1,2}-[A-Z]{3}-\\d{4})+.*" + step_value <- sub(line_1_pattern, "\\1", page[row_txt], perl = TRUE) # extract step + days_value <- sub(line_1_pattern, "\\2", page[row_txt], perl = TRUE) # extract days + date_value <- sub(line_1_pattern, "\\4", page[row_txt], perl = TRUE) # extract date + + + # this is line 2 + row_txt <- grep(" PAV", page) # line 2 starts with PAV= + # pattern extraction for 2nd line of text: PAV, WCT, GOR, WGR + line_2_pattern <- ".*?(\\d+.\\d+)+.*?(\\d+.\\d+)+.*?(\\d+.\\d+)+.*?(\\d+.\\d+).*" + pav_value <- sub(line_2_pattern, "\\1", page[row_txt], perl = TRUE) # Get avg pres + wct_value <- sub(line_2_pattern, "\\2", page[row_txt], perl = TRUE) # get WCT + gor_value <- sub(line_2_pattern, "\\3", page[row_txt], perl = TRUE) # get GOR + wgr_value <- sub(line_2_pattern, "\\4", page[row_txt], perl = TRUE) # get WGR + + # dataframe; + data.frame(step = as.integer(step_value), + date = dmy(date_value), + time_days = as.double(days_value), + pav_bar = as.double(pav_value), + wct_pct = as.double(wct_value), + gor_m3m3 = as.double(gor_value), + wgr_m3m3 = as.double(wgr_value), + stringsAsFactors = FALSE) +}) + +step_info <- do.call("rbind", step_info_dfs) # put together all dataframes in list + +# show a summary of the dataframe +glimpse(step_info) +#> Observations: 1,610 +#> Variables: 7 +#> $ step 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1... +#> $ date 2008-01-01, 2008-01-01, 2008-01-02, 2008-01-03, 200... +#> $ time_days 1.00, 1.63, 2.32, 3.50, 5.45, 8.22, 11.00, 14.61, 17... +#> $ pav_bar 329.6, 329.6, 329.6, 329.6, 329.6, 329.6, 329.6, 329... +#> $ wct_pct 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... +#> $ gor_m3m3 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00... +#> $ wgr_m3m3 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0... +``` + +``` r +# first ten rows +as_tibble(step_info) +#> # A tibble: 1,610 x 7 +#> step date time_days pav_bar wct_pct gor_m3m3 wgr_m3m3 +#> +#> 1 1 2008-01-01 1 330. 0 0 0 +#> 2 2 2008-01-01 1.63 330. 0 0 0 +#> 3 3 2008-01-02 2.32 330. 0 0 0 +#> 4 4 2008-01-03 3.5 330. 0 0 0 +#> 5 5 2008-01-05 5.45 330. 0 0 0 +#> 6 6 2008-01-08 8.22 330. 0 0 0 +#> 7 7 2008-01-11 11 330. 0 0 0 +#> 8 8 2008-01-14 14.6 330. 0 0 0 +#> 9 9 2008-01-17 17.8 330. 0 0 0 +#> 10 10 2008-01-21 21 330. 0 0 0 +#> # ... with 1,600 more rows +``` + +Let’s test the first day and last day of the simulation: + +``` r +tail(step_info$date,1) - head(step_info$date,1) +#> Time difference of 3196 days +``` + +### Plot pressure vs time + +``` r +ggplot(step_info, aes(x =date, y = pav_bar)) + + geom_line() +``` + + + +## Merge cumulative oil wth simulator steps + +``` r +library(dplyr) +library(lubridate) + +# find the rows where we find the word "BALANCE AT" +balance_rows <- grep("^.*BALANCE AT", volve_2016_txt) + +# add rows ahead to where the word BALANCE AT was found +field_totals_range <- lapply(seq_along(balance_rows), function(x) + c(balance_rows[x], balance_rows[x]+1:21)) + +# try different strategy +# iterating through the report pages in FIELD TOTALS +# get: +# days, oil currently in place, oil originally in place, +# oil outflow through wells + +# get the text from all pages and put them in a list +field_totals_report_txt <- lapply(seq_along(field_totals_range), function(x) + volve_2016_txt[field_totals_range[[x]]]) + +# iterate through the list of pages +field_totals_dfs <- lapply(seq_along(field_totals_report_txt), function(x) { + page <- field_totals_report_txt[[x]] # put all pages text in a list + days_row_txt <- page[1] # get 1st row of page + days_value <- sub(".*?(\\d+.\\d.)+.*", "\\1", days_row_txt) # extract the days + + # get the date + date_row_txt <- grep("^.*REPORT", page) + date_value <- sub(".*?(\\d{1,2} [A-Z]{3} \\d{4})+.*", "\\1", page[date_row_txt]) + date_value <- sub("JLY", "JUL", date_value) # change JLY by JUL + + # get oil currently in place + ocip_row_txt <- grep("^.*:CURRENTLY IN PLACE", page) + ocip_value <- sub(".*?(\\d+.)+.*", "\\1", page[ocip_row_txt]) + + # get OOIP + ooip_row_txt <- grep("^.*:ORIGINALLY IN PLACE", page) + ooip_value <- sub(".*?(\\d+.)+.*", "\\1", page[ooip_row_txt]) + + # get total fluid outflow through wells + otw_row_txt <- grep("^.*:OUTFLOW THROUGH WELLS", page) # row index at this line + otw_group_pattern <- ".*?(\\d+.)+.*?(\\d+.)+.*?(\\d+.)+.*" # groups + oil_otw_value <- sub(otw_group_pattern, "\\1", page[otw_row_txt]) # get oil outflow + wat_otw_value <- sub(otw_group_pattern, "\\2", page[otw_row_txt]) # get gas outflow + gas_otw_value <- sub(otw_group_pattern, "\\3", page[otw_row_txt]) # get water + + # get pressure + pav_row_txt <- grep("PAV =", page) + pav_value <- sub(".*?(\\d+.\\d.)+.*", "\\1", page[pav_row_txt]) + + # dataframe + data.frame( + date = dmy(date_value), + days = as.integer(days_value), + ocip = as.double(ocip_value), + ooip = as.double(ooip_value), + oil_otw = as.double(oil_otw_value), + wat_otw = as.double(wat_otw_value), + gas_otw = as.double(gas_otw_value), + pav = as.double(pav_value), + stringsAsFactors = FALSE + ) +}) + +(field_totals <- do.call("rbind", field_totals_dfs)) +#> date days ocip ooip oil_otw wat_otw gas_otw pav +#> 1 2007-12-31 0 21967455 21967455 0 0 0 329.61 +#> 2 2008-01-11 11 21967456 21967455 0 0 0 329.61 +#> 3 2008-01-21 21 21967455 21967455 0 0 0 329.62 +#> 4 2008-01-31 31 21967454 21967455 0 0 0 329.63 +#> 5 2008-02-10 41 21967454 21967455 0 0 0 329.64 +#> 6 2008-02-20 51 21948189 21967455 19265 0 3055593 325.21 +#> 7 2008-02-26 57 21936614 21967455 30840 0 4884638 322.63 +#> 8 2008-03-01 61 21925419 21967455 42035 0 6650055 320.17 +#> 9 2008-03-11 71 21897024 21967455 70430 0 11113293 314.17 +#> 10 2008-03-21 81 21867231 21967455 100223 1 15777548 308.19 +#> 11 2008-03-31 91 21846585 21967455 120869 1 19001704 304.49 +#> 12 2008-04-10 101 21817273 21967455 150181 1 23563796 298.99 +#> 13 2008-04-20 111 21795112 21967455 172342 1 27005099 295.18 +#> 14 2008-04-30 121 21772752 21967455 194702 22293 30471061 294.70 +#> 15 2008-05-10 131 21741263 21967455 226192 89687 35337576 298.77 +#> 16 2008-05-20 141 21698683 21967455 268771 161434 41894741 300.71 +#> 17 2008-05-30 151 21648557 21967455 318898 234843 49587013 301.08 +#> 18 2008-06-09 161 21610378 21967455 357076 288185 55430780 300.98 +#> 19 2008-06-14 166 21585522 21967455 381932 320326 59229491 300.51 +#> 20 2008-06-19 171 21560660 21967455 406794 352466 63026777 300.03 +#> 21 2008-06-29 181 21511310 21967455 456145 427804 70554340 300.82 +#> 22 2008-07-09 191 21462418 21967455 505037 511342 78000727 302.86 +#> 23 2008-07-10 192 21457523 21967455 509931 515528 78754160 302.42 +#> 24 2008-07-19 201 21413504 21967455 553951 553201 85540590 298.55 +#> 25 2008-07-29 211 21355646 21967455 611809 640543 94559725 299.25 +#> 26 2008-08-08 221 21306747 21967455 660707 712585 102203150 299.58 +#> 27 2008-08-18 231 21231589 21967455 735865 789986 113894828 294.94 +#> 28 2008-08-28 241 21185589 21967455 781866 868196 120979880 296.96 +#> 29 2008-09-07 251 21165052 21967455 802402 918119 124172860 300.15 +#> 30 2008-09-17 261 21101690 21967455 865765 958407 134059767 292.10 +#> 31 2008-09-27 271 21022572 21967455 944881 1005365 146185764 282.90 +#> 32 2008-10-07 281 20943696 21967455 1023758 1094847 158143375 280.43 +#> 33 2008-10-17 291 20875714 21967455 1091740 1192314 168448408 280.72 +#> 34 2008-10-27 301 20801343 21967455 1166111 1323101 179756599 283.88 +#> 35 2008-11-06 311 20719726 21967455 1247728 1449994 192181042 285.04 +#> 36 2008-11-16 321 20636358 21967455 1331096 1590655 204851856 287.78 +#> 37 2008-11-26 331 20553570 21967455 1413884 1725664 217460512 289.82 +#> 38 2008-12-06 341 20471952 21967455 1495501 1892955 229909795 297.08 +#> 39 2008-12-16 351 20384837 21967455 1582616 2054024 243210336 302.04 +#> 40 2008-12-19 354 20358286 21967455 1609167 2103848 247239641 303.67 +#> 41 2008-12-20 355 20349432 21967455 1618021 2120455 248582186 304.21 +#> 42 2008-12-26 361 20296243 21967455 1671211 2220102 256624865 307.45 +#> 43 2009-01-05 371 20208488 21967455 1758964 2379364 269833572 311.98 +#> 44 2009-01-15 381 20121699 21967455 1845753 2538125 282862053 316.67 +#> 45 2009-01-25 391 20034683 21967455 1932770 2702082 295948053 322.17 +#> 46 2009-02-04 401 19952076 21967455 2015376 2844760 308314318 325.19 +#> 47 2009-02-14 411 19871095 21967455 2096356 2989830 320415692 329.10 +#> 48 2009-02-24 421 19786086 21967455 2181366 3149880 333084470 334.63 +#> 49 2009-03-04 429 19720512 21967455 2246939 3273203 342824677 338.83 +#> 50 2009-03-06 431 19704107 21967455 2263345 3304034 345257516 339.87 +#> 51 2009-03-16 441 19638888 21967455 2328564 3345731 354869109 329.84 +#> 52 2009-03-26 451 19566297 21967455 2401155 3345730 365685621 311.43 +#> 53 2009-04-05 461 19522375 21967455 2445076 3399247 372205886 309.59 +#> 54 2009-04-15 471 19451980 21967455 2515470 3442210 382647083 299.87 +#> 55 2009-04-25 481 19376859 21967455 2590591 3504470 393775976 292.55 +#> 56 2009-05-05 491 19298421 21967455 2669029 3611594 405357871 291.67 +#> 57 2009-05-15 501 19222644 21967455 2744806 3750615 416506442 296.58 +#> 58 2009-05-25 511 19133513 21967455 2833938 3911941 429610576 301.97 +#> 59 2009-06-04 521 19044780 21967455 2922671 4045486 442683936 302.77 +#> 60 2009-06-14 531 18964661 21967455 3002789 4117051 454501365 295.39 +#> 61 2009-06-24 541 18890437 21967455 3077013 4195002 465451990 290.72 +#> 62 2009-07-04 551 18827980 21967455 3139470 4281305 474481295 290.39 +#> 63 2009-07-14 561 18766826 21967455 3200624 4367789 483387870 290.17 +#> 64 2009-07-24 571 18708930 21967455 3258520 4492112 491867538 296.92 +#> 65 2009-08-03 581 18651253 21967455 3316196 4642447 500316250 308.36 +#> 66 2009-08-13 591 18583189 21967455 3384260 4727553 510277368 306.02 +#> 67 2009-08-23 601 18491852 21967455 3475598 4861248 523669884 306.23 +#> 68 2009-09-02 611 18430274 21967455 3537176 4978934 532673037 311.06 +#> 69 2009-09-12 621 18380627 21967455 3586822 5076865 539939591 315.54 +#> 70 2009-09-22 631 18291688 21967455 3675761 5220270 552985579 317.79 +#> 71 2009-10-02 641 18249624 21967455 3717826 5289897 559158188 319.15 +#> 72 2009-10-12 651 18172246 21967455 3795204 5413924 570545153 320.95 +#> 73 2009-10-22 661 18103711 21967455 3863739 5502228 580637999 318.67 +#> 74 2009-11-01 671 18038461 21967455 3928989 5613253 590249151 321.35 +#> 75 2009-11-11 681 17965288 21967455 4002162 5719757 601036574 321.09 +#> 76 2009-11-21 691 17892198 21967455 4075252 5827172 611814877 321.02 +#> 77 2009-12-01 701 17821871 21967455 4145579 5936912 622181233 322.08 +#> 78 2009-12-11 711 17745736 21967455 4221710 6050288 633385976 322.20 +#> 79 2009-12-21 721 17678593 21967455 4288851 6134219 643265274 319.42 +#> 80 2009-12-31 731 17606728 21967455 4360717 6230111 653859336 317.65 +#> 81 2010-01-10 741 17539853 21967455 4427591 6324696 663714646 316.97 +#> 82 2010-01-20 751 17474037 21967455 4493407 6428788 673403507 318.30 +#> 83 2010-01-30 761 17413212 21967455 4554231 6532304 682345761 320.83 +#> 84 2010-02-09 771 17353738 21967455 4613706 6632673 691081780 323.16 +#> 85 2010-02-19 781 17304485 21967455 4662959 6710851 698305116 324.21 +#> 86 2010-03-01 791 17258309 21967455 4709133 6788968 705070718 326.05 +#> 87 2010-03-11 801 17223926 21967455 4743516 6803116 710110305 319.40 +#> 88 2010-03-21 811 17170826 21967455 4796612 6864455 717890228 316.57 +#> 89 2010-03-31 821 17117410 21967455 4850029 6948462 725709075 317.75 +#> 90 2010-04-10 831 17071231 21967455 4896208 7034779 732461906 321.31 +#> 91 2010-04-20 841 17021416 21967455 4946023 7058123 739745080 312.40 +#> 92 2010-04-30 851 16976112 21967455 4991327 7137638 746358488 315.15 +#> 93 2010-05-10 861 16927451 21967455 5039988 7231873 753444816 319.61 +#> 94 2010-05-20 871 16880401 21967455 5087037 7330479 760292579 325.16 +#> 95 2010-05-30 881 16835336 21967455 5132101 7424553 766839769 330.29 +#> 96 2010-06-09 891 16794122 21967455 5173315 7509389 772820493 334.70 +#> 97 2010-06-19 901 16750034 21967455 5217403 7578454 779217090 335.33 +#> 98 2010-06-29 911 16707305 21967455 5260132 7640189 785417396 334.98 +#> 99 2010-07-09 921 16666642 21967455 5300795 7700884 791324836 335.03 +#> 100 2010-07-19 931 16627200 21967455 5340237 7763476 797039973 335.78 +#> 101 2010-07-29 941 16586666 21967455 5380771 7822061 802911970 335.49 +#> 102 2010-08-08 951 16547653 21967455 5419784 7880026 808562546 335.55 +#> 103 2010-08-18 961 16516046 21967455 5451392 7931954 813134967 336.61 +#> 104 2010-08-28 971 16516047 21967455 5451392 7931954 813134967 336.88 +#> 105 2010-09-07 981 16485793 21967455 5481645 7974723 817509881 336.77 +#> 106 2010-09-08 982 16482622 21967455 5484816 7979869 817970414 336.88 +#> 107 2010-09-17 991 16455353 21967455 5512085 8024351 821926985 337.77 +#> 108 2010-09-20 994 16446483 21967455 5520955 8033387 823206437 336.99 +#> 109 2010-09-24 998 16433760 21967455 5533677 8046768 825053621 335.96 +#> 110 2010-09-27 1001 16424218 21967455 5543219 8056798 826437490 335.20 +#> 111 2010-10-07 1011 16384263 21967455 5583175 8133581 832228249 338.52 +#> 112 2010-10-17 1021 16344407 21967455 5623030 8191445 838006453 338.25 +#> 113 2010-10-27 1031 16305245 21967455 5662192 8249809 843686342 338.32 +#> 114 2010-11-06 1041 16266937 21967455 5700500 8288531 849245428 334.81 +#> 115 2010-11-16 1051 16234402 21967455 5733035 8340784 853968463 335.67 +#> 116 2010-11-26 1061 16199656 21967455 5767781 8380701 859011678 333.61 +#> 117 2010-12-06 1071 16163763 21967455 5803674 8452360 864220794 337.29 +#> 118 2010-12-16 1081 16129732 21967455 5837705 8499994 869156022 336.86 +#> 119 2010-12-26 1091 16095851 21967455 5871586 8550276 874068999 336.99 +#> 120 2011-01-05 1101 16063132 21967455 5904304 8598263 878812337 337.04 +#> 121 2011-01-15 1111 16030840 21967455 5936597 8645199 883494229 336.97 +#> 122 2011-01-25 1121 15998878 21967455 5968558 8690315 888125887 336.67 +#> 123 2011-02-04 1131 15975127 21967455 5992309 8726433 891564427 337.19 +#> 124 2011-02-14 1141 15949125 21967455 6018312 8731420 895330702 330.88 +#> 125 2011-02-24 1151 15921196 21967455 6046241 8796270 899372774 335.67 +#> 126 2011-03-06 1161 15891443 21967455 6075994 8849158 903673145 337.58 +#> 127 2011-03-16 1171 15861737 21967455 6105700 8891348 907964105 337.43 +#> 128 2011-03-26 1181 15833424 21967455 6134013 8934304 912053482 337.84 +#> 129 2011-04-05 1191 15804125 21967455 6163312 8975856 916283806 337.64 +#> 130 2011-04-15 1201 15775191 21967455 6192246 9017968 920460405 337.61 +#> 131 2011-04-25 1211 15746845 21967455 6220592 9059225 924551822 337.60 +#> 132 2011-05-05 1221 15718939 21967455 6248498 9098882 928578057 337.44 +#> 133 2011-05-15 1231 15691430 21967455 6276006 9137334 932544995 337.19 +#> 134 2011-05-25 1241 15664328 21967455 6303108 9173724 936452594 336.66 +#> 135 2011-06-04 1251 15638583 21967455 6328853 9212999 940163435 337.11 +#> 136 2011-06-14 1261 15612040 21967455 6355396 9249107 943987622 336.71 +#> 137 2011-06-24 1271 15595177 21967455 6372259 9271971 946414388 336.59 +#> 138 2011-07-04 1281 15591515 21967455 6375921 9278319 946939611 337.38 +#> 139 2011-07-14 1291 15582060 21967455 6385377 9291561 948298119 337.72 +#> 140 2011-07-24 1301 15573210 21967455 6394227 9306517 949569482 338.51 +#> 141 2011-08-03 1311 15563143 21967455 6404295 9320558 951014190 338.72 +#> 142 2011-08-13 1321 15535282 21967455 6432155 9360800 955015781 338.68 +#> 143 2011-08-23 1331 15506121 21967455 6461316 9401866 959203424 338.35 +#> 144 2011-09-02 1341 15479118 21967455 6488319 9437763 963079045 337.68 +#> 145 2011-09-12 1351 15452115 21967455 6515322 9473819 966954365 337.05 +#> 146 2011-09-22 1361 15425823 21967455 6541614 9509218 970727391 336.45 +#> 147 2011-10-02 1371 15400674 21967455 6566763 9543779 974336192 336.08 +#> 148 2011-10-12 1381 15379001 21967455 6588436 9576399 977446530 336.45 +#> 149 2011-10-22 1391 15370969 21967455 6596467 9588162 978596871 336.80 +#> 150 2011-11-01 1401 15370969 21967455 6596467 9588162 978596871 337.53 +#> 151 2011-11-11 1411 15355537 21967455 6611899 9609016 980810120 337.41 +#> 152 2011-11-21 1421 15330403 21967455 6637034 9643335 984415743 336.94 +#> 153 2011-12-01 1431 15317857 21967455 6649579 9662638 986211213 337.31 +#> 154 2011-12-11 1441 15308468 21967455 6658968 9675793 987552189 337.52 +#> 155 2011-12-21 1451 15286605 21967455 6680831 9706615 990681223 337.39 +#> 156 2011-12-31 1461 15270805 21967455 6696631 9729876 992939668 337.59 +#> 157 2012-01-10 1471 15262721 21967455 6704714 9740042 994094373 337.56 +#> 158 2012-01-20 1481 15247777 21967455 6719658 9756656 996230752 336.66 +#> 159 2012-01-30 1491 15228567 21967455 6738867 9791142 998977428 338.02 +#> 160 2012-02-09 1501 15209160 21967455 6758274 9821005 1001778632 338.44 +#> 161 2012-02-19 1511 15188464 21967455 6778970 9851370 1004766540 338.46 +#> 162 2012-02-29 1521 15168768 21967455 6798666 9877997 1007609429 338.08 +#> 163 2012-03-10 1531 15149312 21967455 6818122 9903667 1010417204 337.62 +#> 164 2012-03-20 1541 15130550 21967455 6836884 9927296 1013124844 336.97 +#> 165 2012-03-30 1551 15114940 21967455 6852494 9950124 1015379542 337.15 +#> 166 2012-04-09 1561 15095143 21967455 6872291 9976419 1018234182 336.66 +#> 167 2012-04-19 1571 15075959 21967455 6891475 10002438 1021000358 336.32 +#> 168 2012-04-29 1581 15057145 21967455 6910290 10026862 1023712595 335.80 +#> 169 2012-05-09 1591 15038497 21967455 6928937 10047585 1026401022 334.58 +#> 170 2012-05-19 1601 15019464 21967455 6947970 10074989 1029144511 334.59 +#> 171 2012-05-29 1611 15001252 21967455 6966182 10098610 1031769274 334.11 +#> 172 2012-06-08 1621 14982771 21967455 6984663 10121354 1034432705 333.35 +#> 173 2012-06-18 1631 14964762 21967455 7002672 10145176 1037028328 332.97 +#> 174 2012-06-28 1641 14947641 21967455 7019793 10167380 1039495383 332.52 +#> 175 2012-07-08 1651 14929718 21967455 7037716 10191215 1042076815 332.16 +#> 176 2012-07-18 1661 14912147 21967455 7055287 10216680 1044607470 332.24 +#> 177 2012-07-28 1671 14894642 21967455 7072793 10235529 1047128023 330.98 +#> 178 2012-08-07 1681 14877333 21967455 7090102 10264767 1049619463 331.91 +#> 179 2012-08-17 1691 14866819 21967455 7100616 10280078 1051131661 332.14 +#> 180 2012-08-27 1701 14866814 21967455 7100616 10280078 1051131661 333.01 +#> 181 2012-09-06 1711 14866814 21967455 7100616 10280078 1051131661 333.86 +#> 182 2012-09-16 1721 14866814 21967455 7100616 10282680 1051131661 335.06 +#> 183 2012-09-26 1731 14866814 21967455 7100616 10282680 1051131661 335.65 +#> 184 2012-10-06 1741 14849999 21967455 7117430 10308375 1053545079 335.92 +#> 185 2012-10-16 1751 14831450 21967455 7135978 10331222 1056198623 335.05 +#> 186 2012-10-26 1761 14818248 21967455 7149181 10339855 1058087946 332.96 +#> 187 2012-11-05 1771 14796381 21967455 7171048 10344581 1061215588 327.25 +#> 188 2012-11-15 1781 14776211 21967455 7191218 10400608 1064101533 332.57 +#> 189 2012-11-25 1791 14757266 21967455 7210162 10428738 1066812933 332.74 +#> 190 2012-12-05 1801 14739141 21967455 7228288 10454856 1069408179 332.75 +#> 191 2012-12-15 1811 14723335 21967455 7244093 10476293 1071671254 332.59 +#> 192 2012-12-25 1821 14706601 21967455 7260828 10504023 1074067384 333.39 +#> 193 2013-01-04 1831 14688776 21967455 7278653 10526434 1076619465 332.74 +#> 194 2013-01-14 1841 14671355 21967455 7296074 10544272 1079115193 331.29 +#> 195 2013-01-24 1851 14654821 21967455 7312608 10577834 1081483351 333.28 +#> 196 2013-02-03 1861 14638763 21967455 7328666 10603435 1083782599 333.83 +#> 197 2013-02-13 1871 14622505 21967455 7344924 10628295 1086109608 334.13 +#> 198 2013-02-23 1881 14606589 21967455 7360839 10652716 1088386768 334.44 +#> 199 2013-03-05 1891 14590554 21967455 7376875 10676039 1090680284 334.49 +#> 200 2013-03-15 1901 14584533 21967455 7382896 10683012 1091540093 334.47 +#> 201 2013-03-25 1911 14577204 21967455 7390225 10700179 1092580577 336.15 +#> 202 2013-04-04 1921 14563913 21967455 7403514 10728779 1094477839 338.25 +#> 203 2013-04-14 1931 14556197 21967455 7411231 10747119 1095577454 339.95 +#> 204 2013-04-24 1941 14538122 21967455 7429306 10774276 1098153591 339.97 +#> 205 2013-05-04 1951 14521189 21967455 7446238 10796643 1100566814 339.28 +#> 206 2013-05-14 1961 14504739 21967455 7462688 10822347 1102911822 339.43 +#> 207 2013-05-24 1971 14488956 21967455 7478471 10816677 1105162817 333.53 +#> 208 2013-06-03 1981 14473429 21967455 7493997 10861886 1107377410 338.02 +#> 209 2013-06-13 1991 14458504 21967455 7508923 10883647 1109504621 338.02 +#> 210 2013-06-23 2001 14445081 21967455 7522345 10905098 1111417065 338.48 +#> 211 2013-07-03 2011 14435923 21967455 7531503 10925421 1112719676 340.17 +#> 212 2013-07-13 2021 14421824 21967455 7545602 10947100 1114725679 340.43 +#> 213 2013-07-23 2031 14409230 21967455 7558196 10970079 1116517616 341.41 +#> 214 2013-08-02 2041 14398540 21967455 7568886 10982296 1117993338 340.80 +#> 215 2013-08-12 2051 14377030 21967455 7590396 11014315 1120929754 340.58 +#> 216 2013-08-22 2061 14352572 21967455 7614853 11050477 1124264551 340.20 +#> 217 2013-09-01 2071 14333451 21967455 7633973 11082913 1126907268 340.94 +#> 218 2013-09-11 2081 14313503 21967455 7653922 11106402 1129635433 339.67 +#> 219 2013-09-21 2091 14300561 21967455 7666864 11125886 1131406461 340.16 +#> 220 2013-10-01 2101 14280114 21967455 7687310 11158492 1134188263 340.64 +#> 221 2013-10-11 2111 14255950 21967455 7711475 11189067 1137452702 339.55 +#> 222 2013-10-21 2121 14235879 21967455 7731545 11218855 1140156082 339.63 +#> 223 2013-10-31 2131 14217584 21967455 7749841 11237983 1142613854 338.26 +#> 224 2013-11-10 2141 14197865 21967455 7769559 11269740 1145245299 339.02 +#> 225 2013-11-20 2151 14175339 21967455 7792086 11304215 1148260478 339.34 +#> 226 2013-11-30 2161 14152282 21967455 7815142 11336934 1151341074 339.09 +#> 227 2013-12-10 2171 14131588 21967455 7835836 11364889 1154103143 338.74 +#> 228 2013-12-20 2181 14114659 21967455 7852765 11394940 1156359686 340.11 +#> 229 2013-12-30 2191 14093570 21967455 7873854 11431479 1159169486 341.44 +#> 230 2014-01-09 2201 14074061 21967455 7893363 11462215 1161769324 342.47 +#> 231 2014-01-16 2208 14058164 21967455 7909260 11488939 1163881784 343.20 +#> 232 2014-01-17 2209 14055453 21967455 7911971 11492754 1164238654 343.14 +#> 233 2014-01-19 2211 14050185 21967455 7917239 11500379 1164933267 343.10 +#> 234 2014-01-29 2221 14025976 21967455 7941447 11542150 1168092627 344.72 +#> 235 2014-02-08 2231 14008560 21967455 7958863 11556095 1170383066 342.85 +#> 236 2014-02-18 2241 13987521 21967455 7979903 11586371 1173129791 343.25 +#> 237 2014-02-28 2251 13961899 21967455 8005524 11612886 1176474406 341.15 +#> 238 2014-03-10 2261 13936170 21967455 8031253 11644226 1179828863 339.99 +#> 239 2014-03-20 2271 13910488 21967455 8056935 11675563 1183173590 338.87 +#> 240 2014-03-30 2281 13895884 21967455 8071539 11706069 1185085485 341.18 +#> 241 2014-04-09 2291 13873370 21967455 8094053 11742707 1188023839 342.12 +#> 242 2014-04-19 2301 13848705 21967455 8118718 11780546 1191234290 342.59 +#> 243 2014-04-22 2304 13841396 21967455 8126027 11791625 1192182541 342.71 +#> 244 2014-04-23 2305 13838255 21967455 8129169 11795309 1192603281 342.50 +#> 245 2014-04-24 2306 13834768 21967455 8132655 11798986 1193075171 342.17 +#> 246 2014-04-25 2307 13831016 21967455 8136407 11802650 1193586523 341.74 +#> 247 2014-04-27 2309 13823883 21967455 8143540 11809920 1194554145 341.04 +#> 248 2014-04-29 2311 13816929 21967455 8150494 11817055 1195495233 340.38 +#> 249 2014-05-09 2321 13783844 21967455 8183580 11861198 1199927202 339.57 +#> 250 2014-05-19 2331 13759772 21967455 8207651 11852612 1203138401 330.81 +#> 251 2014-05-29 2341 13733184 21967455 8234238 11930464 1206675583 339.30 +#> 252 2014-06-08 2351 13704361 21967455 8263060 11977687 1210514081 340.51 +#> 253 2014-06-18 2361 13675071 21967455 8292350 12017199 1214416129 339.94 +#> 254 2014-06-28 2371 13648413 21967455 8319008 12050238 1217964199 338.96 +#> 255 2014-07-08 2381 13621366 21967455 8346055 12092715 1221567634 339.81 +#> 256 2014-07-18 2391 13594736 21967455 8372685 12121002 1225114223 337.89 +#> 257 2014-07-28 2401 13569496 21967455 8397925 12164977 1228472552 339.78 +#> 258 2014-08-07 2411 13543294 21967455 8424128 12202706 1231965858 340.02 +#> 259 2014-08-17 2421 13517407 21967455 8450014 12240960 1235418427 340.41 +#> 260 2014-08-27 2431 13510721 21967455 8456701 12256453 1236305660 342.14 +#> 261 2014-09-06 2441 13494438 21967455 8472982 12293018 1238470038 344.96 +#> 262 2014-09-16 2451 13467341 21967455 8500079 12333172 1242066580 344.93 +#> 263 2014-09-26 2461 13441452 21967455 8525968 12371640 1245500050 345.09 +#> 264 2014-10-06 2471 13420486 21967455 8546934 12402411 1248268050 345.37 +#> 265 2014-10-16 2481 13396088 21967455 8571331 12438326 1251515249 345.51 +#> 266 2014-10-26 2491 13372618 21967455 8594801 12477640 1254638088 346.66 +#> 267 2014-11-05 2501 13349670 21967455 8617749 12514547 1257691977 347.49 +#> 268 2014-11-15 2511 13326642 21967455 8640777 12551602 1260757981 348.32 +#> 269 2014-11-25 2521 13304735 21967455 8662683 12569596 1263668628 345.44 +#> 270 2014-11-28 2524 13302834 21967455 8664585 12577168 1263922730 346.56 +#> 271 2014-12-05 2531 13298273 21967455 8669146 12595015 1264532502 349.35 +#> 272 2014-12-15 2541 13291800 21967455 8675619 12616675 1265410792 352.52 +#> 273 2014-12-25 2551 13283998 21967455 8683421 12641863 1266459669 355.74 +#> 274 2015-01-01 2558 13277077 21967455 8690341 12652182 1267380892 355.77 +#> 275 2015-01-04 2561 13274092 21967455 8693326 12656631 1267778294 355.83 +#> 276 2015-01-14 2571 13240048 21967455 8727370 12687819 1272612621 351.12 +#> 277 2015-01-24 2581 13208457 21967455 8758961 12719249 1277068048 347.91 +#> 278 2015-02-03 2591 13180148 21967455 8787270 12746384 1281049356 345.03 +#> 279 2015-02-13 2601 13155108 21967455 8812309 12797197 1284576495 348.51 +#> 280 2015-02-23 2611 13120750 21967455 8846665 12859900 1289418094 351.21 +#> 281 2015-03-05 2621 13090801 21967455 8876615 12900572 1293607763 350.69 +#> 282 2015-03-15 2631 13063152 21967455 8904263 12942597 1297413150 351.34 +#> 283 2015-03-25 2641 13031743 21967455 8935673 12984390 1301707789 350.21 +#> 284 2015-04-04 2651 12995940 21967455 8971476 13022401 1306616932 346.79 +#> 285 2015-04-14 2661 12966458 21967455 9000957 13066538 1310589718 347.32 +#> 286 2015-04-24 2671 12934850 21967455 9032565 13129006 1314882414 350.88 +#> 287 2015-05-04 2681 12898794 21967455 9068621 13162686 1319839748 346.32 +#> 288 2015-05-14 2691 12871526 21967455 9095890 13199274 1323509653 346.01 +#> 289 2015-05-24 2701 12844931 21967455 9122484 13233587 1327099279 345.34 +#> 290 2015-06-03 2711 12816728 21967455 9150687 13263378 1330939295 343.02 +#> 291 2015-06-13 2721 12791276 21967455 9176140 13297226 1334397657 342.67 +#> 292 2015-06-23 2731 12762295 21967455 9205121 13350230 1338406291 345.19 +#> 293 2015-07-03 2741 12731760 21967455 9235655 13401785 1342632830 346.79 +#> 294 2015-07-13 2751 12707121 21967455 9260294 13431551 1345974425 345.94 +#> 295 2015-07-23 2761 12684002 21967455 9283412 13466788 1349104218 346.64 +#> 296 2015-08-02 2771 12656265 21967455 9311149 13498615 1352933117 344.52 +#> 297 2015-08-12 2781 12632236 21967455 9335178 13528184 1356233028 343.54 +#> 298 2015-08-15 2784 12625860 21967455 9341554 13538483 1357097918 343.98 +#> 299 2015-08-22 2791 12610607 21967455 9356807 13563103 1359182912 344.87 +#> 300 2015-09-01 2801 12600441 21967455 9366973 13575749 1360603813 345.25 +#> 301 2015-09-11 2811 12574345 21967455 9393069 13611745 1364229439 344.68 +#> 302 2015-09-21 2821 12548351 21967455 9419063 13640745 1367860156 342.65 +#> 303 2015-10-01 2831 12529806 21967455 9437608 13672222 1370390795 344.16 +#> 304 2015-10-11 2841 12510002 21967455 9457412 13705381 1373083693 345.48 +#> 305 2015-10-21 2851 12487017 21967455 9480397 13725353 1376250981 342.37 +#> 306 2015-10-31 2861 12468197 21967455 9499217 13754076 1378919647 342.99 +#> 307 2015-11-10 2871 12451331 21967455 9516083 13788834 1381227245 345.77 +#> 308 2015-11-20 2881 12428397 21967455 9539017 13833016 1384310042 348.14 +#> 309 2015-11-30 2891 12403286 21967455 9564129 13852684 1387757934 343.89 +#> 310 2015-12-10 2901 12381107 21967455 9586307 13903003 1390793297 347.94 +#> 311 2015-12-20 2911 12361542 21967455 9605872 13921193 1393428990 345.86 +#> 312 2015-12-30 2921 12343800 21967455 9623615 13942666 1395816616 345.24 +#> 313 2016-01-09 2931 12325781 21967455 9641634 13980796 1398272598 348.10 +#> 314 2016-01-19 2941 12304724 21967455 9662691 14012498 1401156775 348.14 +#> 315 2016-01-29 2951 12287299 21967455 9680116 14028250 1403505464 346.19 +#> 316 2016-02-08 2961 12270443 21967455 9696972 14049150 1405773143 345.66 +#> 317 2016-02-18 2971 12249902 21967455 9717514 14072352 1408605786 343.97 +#> 318 2016-02-28 2981 12231705 21967455 9735711 14133988 1411097057 352.03 +#> 319 2016-03-09 2991 12215508 21967455 9751907 14159197 1413270795 352.50 +#> 320 2016-03-19 3001 12200126 21967455 9767289 14179658 1415343981 352.16 +#> 321 2016-03-29 3011 12181421 21967455 9785994 14198114 1417928545 349.91 +#> 322 2016-04-08 3021 12164717 21967455 9802698 14217140 1420232722 348.84 +#> 323 2016-04-18 3031 12153329 21967455 9814086 14234562 1421789915 349.92 +#> 324 2016-04-28 3041 12142007 21967455 9825409 14246722 1423322825 350.02 +#> 325 2016-05-08 3051 12127765 21967455 9839651 14268714 1425224327 351.06 +#> 326 2016-05-18 3061 12114127 21967455 9853289 14288573 1427051569 351.74 +#> 327 2016-05-28 3071 12101342 21967455 9866074 14307475 1428768955 352.40 +#> 328 2016-06-07 3081 12088900 21967455 9878516 14328689 1430440619 353.67 +#> 329 2016-06-17 3091 12076650 21967455 9890766 14345647 1432084650 353.93 +#> 330 2016-06-27 3101 12063894 21967455 9903522 14364372 1433799645 354.38 +#> 331 2016-07-07 3111 12051464 21967455 9915952 14383013 1435470706 354.87 +#> 332 2016-07-17 3121 12041291 21967455 9926125 14394426 1436827839 354.47 +#> 333 2016-07-27 3131 12032706 21967455 9934710 14414844 1437967246 356.80 +#> 334 2016-08-06 3141 12023387 21967455 9944030 14419367 1439202780 355.01 +#> 335 2016-08-16 3151 12014776 21967455 9952640 14436777 1440336643 356.54 +#> 336 2016-08-26 3161 12007032 21967455 9960384 14451239 1441338719 357.65 +#> 337 2016-09-05 3171 11999150 21967455 9968267 14440062 1442360056 352.55 +#> 338 2016-09-15 3181 11990860 21967455 9976556 14413503 1443430344 343.93 +#> 339 2016-09-20 3186 11986597 21967455 9980819 14400379 1443979050 339.76 +#> 340 2016-10-01 3197 11986597 21967455 9980819 14400379 1443979050 341.68 +``` + +Now, we know that the STEP dataframe has more rows than the BALANCE-AT +dataframe. What we want is to correlate the step with the oil +cumulatives. + +``` r +step_totals <- +left_join(step_info, field_totals, by = "date") %>% + na.omit() %>% + select(date, time_days, days, everything()) %>% + print +#> date time_days days step pav_bar wct_pct gor_m3m3 wgr_m3m3 +#> 7 2008-01-11 11.00 11 7 329.6 0.000 0.00 0.0000 +#> 10 2008-01-21 21.00 21 10 329.6 0.000 0.00 0.0000 +#> 13 2008-01-31 31.00 31 13 329.6 0.000 0.00 0.0000 +#> 15 2008-02-10 41.00 41 15 329.6 0.000 0.00 0.0000 +#> 17 2008-02-20 51.00 51 17 325.2 0.000 158.40 0.0000 +#> 18 2008-02-26 57.00 57 18 322.6 0.000 158.01 0.0000 +#> 19 2008-03-01 61.00 61 19 320.2 0.000 157.70 0.0000 +#> 21 2008-03-11 71.00 71 21 314.2 0.000 157.03 0.0000 +#> 23 2008-03-21 81.00 81 23 308.2 0.000 156.40 0.0000 +#> 24 2008-03-21 81.50 81 24 308.0 0.000 156.38 0.0000 +#> 30 2008-03-31 91.00 91 30 304.5 0.000 156.01 0.0000 +#> 32 2008-04-10 101.00 101 32 299.0 0.000 155.52 0.0000 +#> 34 2008-04-20 111.00 111 34 295.2 0.000 155.21 0.0000 +#> 35 2008-04-20 111.50 111 35 295.2 0.000 155.19 0.0000 +#> 42 2008-04-30 121.00 121 42 294.7 0.000 154.87 0.0000 +#> 46 2008-05-10 131.00 131 46 298.8 0.000 154.36 0.0000 +#> 50 2008-05-20 141.00 141 50 300.7 0.000 153.79 0.0000 +#> 54 2008-05-30 151.00 151 54 301.1 0.000 153.27 0.0000 +#> 57 2008-06-09 161.00 161 57 301.0 0.000 152.97 0.0000 +#> 58 2008-06-14 166.00 166 58 300.5 0.000 152.83 0.0000 +#> 60 2008-06-19 171.00 171 60 300.0 0.000 152.70 0.0000 +#> 63 2008-06-29 181.00 181 63 300.8 0.000 152.46 0.0000 +#> 73 2008-08-08 221.00 221 73 299.6 0.000 156.28 0.0000 +#> 75 2008-08-18 231.00 231 75 294.9 0.000 155.48 0.0000 +#> 78 2008-08-28 241.00 241 78 297.0 0.000 153.96 0.0000 +#> 79 2008-08-28 241.45 241 79 297.1 0.000 155.58 0.0000 +#> 80 2008-08-28 241.75 241 80 297.2 0.000 155.58 0.0000 +#> 88 2008-09-07 251.00 251 88 300.1 0.000 155.41 0.0000 +#> 91 2008-09-17 261.00 261 91 292.1 0.000 155.71 0.0000 +#> 97 2008-09-27 271.00 271 97 282.9 0.000 152.38 0.0000 +#> 100 2008-10-07 281.00 281 100 280.4 0.000 151.29 0.0000 +#> 102 2008-10-17 291.00 291 102 280.7 0.000 151.62 0.0000 +#> 105 2008-10-27 301.00 301 105 283.9 0.000 152.34 0.0000 +#> 108 2008-11-06 311.00 311 108 285.0 0.000 152.27 0.0000 +#> 111 2008-11-16 321.00 321 111 287.8 0.000 152.12 0.0000 +#> 114 2008-11-26 331.00 331 114 289.8 0.000 152.33 0.0000 +#> 115 2008-11-26 331.42 331 115 290.1 0.000 152.30 0.0000 +#> 116 2008-11-26 331.94 331 116 290.5 0.000 152.33 0.0000 +#> 121 2008-12-06 341.00 341 121 297.1 0.000 152.65 0.0000 +#> 124 2008-12-16 351.00 351 124 302.0 0.000 152.42 0.0000 +#> 125 2008-12-19 354.00 354 125 303.7 0.000 151.76 0.0000 +#> 126 2008-12-20 355.00 355 126 304.2 0.000 151.63 0.0000 +#> 128 2008-12-26 361.00 361 128 307.5 0.000 151.07 0.0000 +#> 136 2009-01-05 371.00 371 136 312.0 0.000 150.33 0.0000 +#> 143 2009-01-15 381.00 381 143 316.7 0.000 149.99 0.0000 +#> 151 2009-01-25 391.00 391 151 322.2 0.000 150.18 0.0000 +#> 158 2009-02-04 401.00 401 158 325.2 0.000 149.57 0.0000 +#> 159 2009-02-04 401.28 401 159 325.3 0.000 149.66 0.0000 +#> 160 2009-02-04 401.62 401 160 325.4 0.000 149.65 0.0000 +#> 166 2009-02-14 411.00 411 166 329.1 0.000 149.26 0.0000 +#> 167 2009-02-14 411.45 411 167 329.4 0.000 149.34 0.0000 +#> 173 2009-02-24 421.00 421 173 334.6 0.000 148.81 0.0000 +#> 174 2009-02-24 421.40 421 174 334.8 0.000 148.74 0.0000 +#> 175 2009-02-24 421.90 421 175 335.1 0.000 148.72 0.0000 +#> 180 2009-03-04 429.00 429 180 338.8 0.000 148.38 0.0000 +#> 181 2009-03-06 431.00 431 181 339.9 0.000 148.30 0.0000 +#> 182 2009-03-06 431.49 431 182 339.4 0.037 146.98 0.0003 +#> 188 2009-03-16 441.00 441 188 329.8 0.035 147.50 0.0002 +#> 190 2009-03-26 451.00 451 190 311.4 0.000 149.07 0.0000 +#> 191 2009-03-26 451.50 451 191 311.3 0.000 148.86 0.0000 +#> 197 2009-04-05 461.00 461 197 309.6 0.000 148.25 0.0000 +#> 198 2009-04-05 461.50 461 198 309.1 0.000 148.37 0.0000 +#> 204 2009-04-15 471.00 471 204 299.9 0.000 148.30 0.0000 +#> 205 2009-04-15 471.40 471 205 299.6 0.000 148.29 0.0000 +#> 206 2009-04-15 471.90 471 206 299.2 0.000 148.28 0.0000 +#> 211 2009-04-25 481.00 481 211 292.5 0.000 148.05 0.0000 +#> 214 2009-05-05 491.00 491 214 291.7 0.000 147.52 0.0000 +#> 217 2009-05-15 501.00 501 217 296.6 0.001 147.00 0.0000 +#> 218 2009-05-15 501.42 501 218 296.8 0.001 147.12 0.0000 +#> 219 2009-05-15 501.94 501 219 297.1 0.001 147.09 0.0000 +#> 224 2009-05-25 511.00 511 224 302.0 0.003 147.07 0.0000 +#> 225 2009-05-25 511.33 511 225 302.0 0.003 147.14 0.0000 +#> 226 2009-05-25 511.75 511 226 302.0 0.004 147.16 0.0000 +#> 231 2009-06-04 521.00 521 231 302.8 0.012 147.39 0.0001 +#> 232 2009-06-04 521.46 521 232 302.4 0.012 147.36 0.0001 +#> 238 2009-06-14 531.00 531 238 295.4 0.014 147.57 0.0001 +#> 239 2009-06-14 531.49 531 239 295.2 0.015 147.54 0.0001 +#> 245 2009-06-24 541.00 541 245 290.7 0.017 147.51 0.0001 +#> 246 2009-06-24 541.43 541 246 290.7 0.214 145.38 0.0019 +#> 247 2009-06-24 541.85 541 247 290.7 0.196 145.12 0.0017 +#> 288 2009-08-03 581.00 581 288 308.4 0.034 146.36 0.0002 +#> 291 2009-08-13 591.00 591 291 306.0 0.038 146.46 0.0003 +#> 292 2009-08-13 591.43 591 292 306.0 0.035 146.65 0.0002 +#> 293 2009-08-13 591.96 591 293 306.0 0.036 146.65 0.0003 +#> 298 2009-08-23 601.00 601 298 306.2 0.049 146.62 0.0004 +#> 299 2009-08-23 601.34 601 299 306.4 0.059 146.11 0.0004 +#> 300 2009-08-23 601.76 601 300 306.6 0.059 146.12 0.0004 +#> 305 2009-09-02 611.00 611 305 311.1 0.071 146.25 0.0005 +#> 306 2009-09-02 611.44 611 306 311.3 0.070 146.37 0.0005 +#> 307 2009-09-02 612.00 611 307 311.5 0.070 146.38 0.0005 +#> 312 2009-09-12 621.00 621 312 315.5 0.078 146.36 0.0006 +#> 313 2009-09-12 621.50 621 313 315.6 0.073 146.52 0.0005 +#> 319 2009-09-22 631.00 631 319 317.8 0.100 146.82 0.0008 +#> 320 2009-09-22 631.39 631 320 317.8 0.114 146.51 0.0009 +#> 321 2009-09-22 631.87 631 321 317.9 0.112 146.58 0.0009 +#> 326 2009-10-02 641.00 641 326 319.2 0.109 146.82 0.0008 +#> 327 2009-10-02 641.50 641 327 319.2 0.098 147.12 0.0007 +#> 333 2009-10-12 651.00 651 333 321.0 0.135 147.22 0.0011 +#> 336 2009-10-22 661.00 661 336 318.7 0.164 147.33 0.0013 +#> 337 2009-10-22 661.49 661 337 318.8 0.166 147.29 0.0013 +#> 343 2009-11-01 671.00 671 343 321.3 0.197 147.30 0.0017 +#> 344 2009-11-01 671.47 671 344 321.3 0.195 147.39 0.0016 +#> 350 2009-11-11 681.00 681 350 321.1 0.226 147.45 0.0020 +#> 353 2009-11-21 691.00 691 353 321.0 0.257 147.46 0.0023 +#> 354 2009-11-21 691.41 691 354 321.1 0.274 147.48 0.0026 +#> 355 2009-11-21 691.92 691 355 321.1 0.275 147.47 0.0026 +#> 360 2009-12-01 701.00 701 360 322.1 0.303 147.35 0.0030 +#> 361 2009-12-01 701.40 701 361 322.1 0.330 147.25 0.0034 +#> 362 2009-12-01 701.89 701 362 322.1 0.332 147.24 0.0034 +#> 367 2009-12-11 711.00 711 367 322.2 0.363 147.14 0.0039 +#> 368 2009-12-11 711.42 711 368 322.1 0.359 147.10 0.0038 +#> 369 2009-12-11 711.94 711 369 321.9 0.360 147.11 0.0038 +#> 374 2009-12-21 721.00 721 374 319.4 0.373 147.16 0.0040 +#> 375 2009-12-21 721.40 721 375 319.3 0.341 147.41 0.0035 +#> 376 2009-12-21 721.90 721 376 319.3 0.343 147.41 0.0035 +#> 381 2009-12-31 731.00 731 381 317.6 0.368 147.41 0.0040 +#> 384 2010-01-10 741.00 741 384 317.0 0.394 147.33 0.0044 +#> 390 2010-01-20 751.00 751 390 318.3 0.422 147.16 0.0050 +#> 393 2010-01-30 761.00 761 393 320.8 0.449 146.96 0.0056 +#> 394 2010-01-30 761.50 761 394 320.9 0.450 146.96 0.0056 +#> 400 2010-02-09 771.00 771 400 323.2 0.475 146.82 0.0062 +#> 401 2010-02-09 771.39 771 401 323.2 0.481 146.71 0.0063 +#> 402 2010-02-09 771.87 771 402 323.3 0.481 146.71 0.0063 +#> 407 2010-02-19 781.00 781 407 324.2 0.490 146.61 0.0065 +#> 408 2010-02-19 781.44 781 408 324.3 0.492 146.61 0.0066 +#> 409 2010-02-19 781.98 781 409 324.4 0.493 146.60 0.0066 +#> 414 2010-03-01 791.00 791 414 326.1 0.505 146.46 0.0070 +#> 415 2010-03-01 791.50 791 415 325.7 0.517 146.41 0.0073 +#> 421 2010-03-11 801.00 801 421 319.4 0.483 146.63 0.0064 +#> 422 2010-03-11 801.42 801 422 319.3 0.473 146.58 0.0061 +#> 423 2010-03-11 801.94 801 423 319.1 0.475 146.57 0.0062 +#> 433 2010-03-21 811.00 811 433 316.6 0.498 146.49 0.0068 +#> 434 2010-03-21 811.30 811 434 316.6 0.496 146.47 0.0067 +#> 435 2010-03-21 811.67 811 435 316.6 0.497 146.47 0.0068 +#> 441 2010-03-31 821.00 821 441 317.7 0.522 146.30 0.0075 +#> 442 2010-03-31 821.50 821 442 317.9 0.529 146.35 0.0077 +#> 448 2010-04-10 831.00 831 448 321.3 0.546 146.15 0.0082 +#> 449 2010-04-10 831.50 831 449 320.8 0.542 146.04 0.0081 +#> 455 2010-04-20 841.00 841 455 312.4 0.522 146.31 0.0075 +#> 456 2010-04-20 841.49 841 456 312.5 0.520 146.11 0.0074 +#> 462 2010-04-30 851.00 851 462 315.2 0.538 145.88 0.0080 +#> 463 2010-04-30 851.50 851 463 315.4 0.532 145.76 0.0078 +#> 469 2010-05-10 861.00 861 469 319.6 0.554 145.53 0.0085 +#> 470 2010-05-10 861.50 861 470 319.9 0.559 145.68 0.0087 +#> 476 2010-05-20 871.00 871 476 325.2 0.579 145.44 0.0095 +#> 477 2010-05-20 871.44 871 477 325.4 0.579 145.38 0.0095 +#> 478 2010-05-20 871.99 871 478 325.7 0.580 145.37 0.0095 +#> 483 2010-05-30 881.00 881 483 330.3 0.593 145.22 0.0100 +#> 484 2010-05-30 881.50 881 484 330.5 0.596 145.18 0.0102 +#> 490 2010-06-09 891.00 891 490 334.7 0.606 145.06 0.0106 +#> 491 2010-06-09 891.46 891 491 334.7 0.603 145.09 0.0105 +#> 497 2010-06-19 901.00 901 497 335.3 0.609 145.09 0.0107 +#> 498 2010-06-19 901.41 901 498 335.3 0.610 145.10 0.0108 +#> 499 2010-06-19 901.93 901 499 335.3 0.610 145.10 0.0108 +#> 504 2010-06-29 911.00 911 504 335.0 0.614 145.11 0.0110 +#> 505 2010-06-29 911.41 911 505 335.0 0.623 145.33 0.0114 +#> 506 2010-06-29 911.92 911 506 335.0 0.623 145.33 0.0114 +#> 532 2010-08-08 951.00 951 532 335.5 0.638 144.80 0.0122 +#> 533 2010-08-08 951.50 951 533 335.6 0.644 144.70 0.0125 +#> 539 2010-08-18 961.00 961 539 336.6 0.643 144.62 0.0125 +#> 542 2010-08-28 971.00 971 542 336.9 0.000 0.00 0.0000 +#> 543 2010-08-28 971.48 971 543 336.9 0.607 144.65 0.0107 +#> 544 2010-08-28 971.90 971 544 336.9 0.597 144.63 0.0102 +#> 554 2010-09-07 981.00 981 554 336.8 0.615 144.57 0.0110 +#> 555 2010-09-08 982.00 982 555 336.9 0.637 145.26 0.0121 +#> 558 2010-09-17 991.00 991 558 337.8 0.662 145.03 0.0135 +#> 559 2010-09-17 991.30 991 559 337.7 0.640 144.22 0.0123 +#> 560 2010-09-17 991.68 991 560 337.6 0.640 144.22 0.0123 +#> 563 2010-09-20 994.00 994 563 337.0 0.637 144.27 0.0121 +#> 564 2010-09-20 994.20 994 564 336.9 0.605 145.17 0.0106 +#> 565 2010-09-20 994.45 994 565 336.9 0.606 145.17 0.0106 +#> 566 2010-09-20 994.84 994 566 336.8 0.606 145.18 0.0106 +#> 570 2010-09-24 998.00 998 570 336.0 0.605 145.20 0.0105 +#> 572 2010-09-27 1001.00 1001 572 335.2 0.607 145.03 0.0106 +#> 573 2010-09-27 1001.20 1001 573 335.3 0.591 144.93 0.0100 +#> 574 2010-09-27 1001.44 1001 574 335.3 0.592 144.93 0.0100 +#> 575 2010-09-27 1001.83 1001 575 335.5 0.593 144.93 0.0101 +#> 581 2010-10-07 1011.00 1011 581 338.5 0.619 144.92 0.0112 +#> 582 2010-10-07 1011.37 1011 582 338.5 0.623 144.98 0.0114 +#> 583 2010-10-07 1011.84 1011 583 338.5 0.624 144.98 0.0114 +#> 588 2010-10-17 1021.00 1021 588 338.3 0.636 144.98 0.0121 +#> 591 2010-10-27 1031.00 1031 591 338.3 0.651 145.05 0.0128 +#> 592 2010-10-27 1031.40 1031 592 338.2 0.651 145.05 0.0129 +#> 593 2010-10-27 1031.89 1031 593 338.0 0.652 145.05 0.0129 +#> 598 2010-11-06 1041.00 1041 598 334.8 0.654 145.16 0.0130 +#> 599 2010-11-06 1041.50 1041 599 334.8 0.662 145.19 0.0135 +#> 605 2010-11-16 1051.00 1051 605 335.7 0.666 145.15 0.0138 +#> 606 2010-11-16 1051.50 1051 606 335.6 0.663 145.14 0.0136 +#> 612 2010-11-26 1061.00 1061 612 333.6 0.663 145.15 0.0136 +#> 613 2010-11-26 1061.50 1061 613 333.8 0.664 145.19 0.0136 +#> 619 2010-12-06 1071.00 1071 619 337.3 0.683 145.08 0.0149 +#> 620 2010-12-06 1071.44 1071 620 337.3 0.683 145.04 0.0148 +#> 621 2010-12-06 1071.98 1071 621 337.2 0.683 145.03 0.0149 +#> 626 2010-12-16 1081.00 1081 626 336.9 0.687 145.01 0.0151 +#> 627 2010-12-16 1081.49 1081 627 336.9 0.687 145.02 0.0151 +#> 633 2010-12-26 1091.00 1091 633 337.0 0.693 145.00 0.0156 +#> 634 2010-12-26 1091.50 1091 634 337.0 0.694 144.99 0.0156 +#> 640 2011-01-05 1101.00 1101 640 337.0 0.699 144.96 0.0160 +#> 641 2011-01-05 1101.42 1101 641 337.0 0.702 145.01 0.0163 +#> 642 2011-01-05 1101.95 1101 642 337.0 0.703 145.01 0.0163 +#> 647 2011-01-15 1111.00 1111 647 337.0 0.709 144.96 0.0168 +#> 648 2011-01-15 1111.48 1111 648 336.9 0.708 144.94 0.0167 +#> 654 2011-01-25 1121.00 1121 654 336.7 0.712 144.89 0.0171 +#> 655 2011-01-25 1121.50 1121 655 336.7 0.719 144.80 0.0177 +#> 661 2011-02-04 1131.00 1131 661 337.2 0.712 144.75 0.0171 +#> 662 2011-02-04 1131.50 1131 662 336.9 0.713 144.80 0.0171 +#> 668 2011-02-14 1141.00 1141 668 330.9 0.698 144.88 0.0159 +#> 669 2011-02-14 1141.50 1141 669 331.1 0.693 144.84 0.0156 +#> 675 2011-02-24 1151.00 1151 675 335.7 0.714 144.64 0.0173 +#> 676 2011-02-24 1151.47 1151 676 335.8 0.710 144.61 0.0169 +#> 682 2011-03-06 1161.00 1161 682 337.6 0.720 144.48 0.0178 +#> 683 2011-03-06 1161.50 1161 683 337.6 0.720 144.48 0.0178 +#> 689 2011-03-16 1171.00 1171 689 337.4 0.724 144.43 0.0182 +#> 690 2011-03-16 1171.50 1171 690 337.5 0.727 144.47 0.0185 +#> 696 2011-03-26 1181.00 1181 696 337.8 0.732 144.41 0.0190 +#> 697 2011-03-26 1181.45 1181 697 337.8 0.731 144.41 0.0188 +#> 703 2011-04-05 1191.00 1191 703 337.6 0.736 144.37 0.0193 +#> 704 2011-04-05 1191.47 1191 704 337.6 0.736 144.37 0.0193 +#> 710 2011-04-15 1201.00 1201 710 337.6 0.741 144.33 0.0198 +#> 711 2011-04-15 1201.49 1201 711 337.6 0.743 144.36 0.0200 +#> 717 2011-04-25 1211.00 1211 717 337.6 0.748 144.32 0.0205 +#> 718 2011-04-25 1211.50 1211 718 337.6 0.747 144.30 0.0205 +#> 724 2011-05-05 1221.00 1221 724 337.4 0.751 144.26 0.0209 +#> 725 2011-05-05 1221.48 1221 725 337.4 0.749 144.22 0.0207 +#> 731 2011-05-15 1231.00 1231 731 337.2 0.752 144.19 0.0210 +#> 734 2011-05-25 1241.00 1241 734 336.7 0.756 144.17 0.0215 +#> 735 2011-05-25 1241.50 1241 735 336.7 0.758 144.17 0.0217 +#> 741 2011-06-04 1251.00 1251 741 337.1 0.761 144.11 0.0221 +#> 742 2011-06-04 1251.50 1251 742 337.1 0.760 144.10 0.0220 +#> 748 2011-06-14 1261.00 1261 748 336.7 0.763 144.06 0.0223 +#> 749 2011-06-14 1261.50 1261 749 336.7 0.774 143.87 0.0238 +#> 755 2011-06-24 1271.00 1271 755 336.6 0.759 143.92 0.0219 +#> 756 2011-06-24 1271.50 1271 756 336.6 0.813 142.45 0.0305 +#> 783 2011-08-03 1311.00 1311 783 338.7 0.677 143.47 0.0146 +#> 784 2011-08-03 1311.50 1311 784 338.7 0.673 143.74 0.0143 +#> 790 2011-08-13 1321.00 1321 790 338.7 0.714 143.55 0.0174 +#> 791 2011-08-13 1321.43 1321 791 338.7 0.719 143.68 0.0178 +#> 792 2011-08-13 1321.97 1321 792 338.7 0.721 143.67 0.0180 +#> 797 2011-08-23 1331.00 1331 797 338.4 0.743 143.57 0.0201 +#> 798 2011-08-23 1331.50 1331 798 338.3 0.742 143.52 0.0200 +#> 804 2011-09-02 1341.00 1341 804 337.7 0.754 143.54 0.0213 +#> 805 2011-09-02 1341.50 1341 805 337.6 0.750 143.49 0.0209 +#> 811 2011-09-12 1351.00 1351 811 337.0 0.760 143.53 0.0220 +#> 812 2011-09-12 1351.50 1351 812 337.0 0.757 143.49 0.0218 +#> 818 2011-09-22 1361.00 1361 818 336.4 0.766 143.52 0.0228 +#> 820 2011-10-02 1371.00 1371 820 336.1 0.770 143.49 0.0234 +#> 821 2011-10-02 1371.50 1371 821 336.1 0.778 143.53 0.0244 +#> 827 2011-10-12 1381.00 1381 827 336.5 0.781 143.50 0.0248 +#> 828 2011-10-12 1381.50 1381 828 336.5 0.808 142.84 0.0294 +#> 834 2011-10-22 1391.00 1391 834 336.8 0.769 143.34 0.0232 +#> 837 2011-11-01 1401.00 1401 837 337.5 0.000 0.00 0.0000 +#> 838 2011-11-01 1401.50 1401 838 337.5 0.720 143.54 0.0179 +#> 839 2011-11-01 1401.93 1401 839 337.5 0.716 143.50 0.0176 +#> 845 2011-11-11 1411.00 1411 845 337.4 0.736 143.41 0.0195 +#> 846 2011-11-11 1411.50 1411 846 337.4 0.730 143.53 0.0189 +#> 852 2011-11-21 1421.00 1421 852 336.9 0.758 143.38 0.0219 +#> 853 2011-11-21 1421.50 1421 853 337.0 0.773 143.07 0.0238 +#> 859 2011-12-01 1431.00 1431 859 337.3 0.756 143.13 0.0216 +#> 860 2011-12-01 1431.50 1431 860 337.3 0.748 142.71 0.0208 +#> 866 2011-12-11 1441.00 1441 866 337.5 0.721 142.85 0.0181 +#> 867 2011-12-11 1441.50 1441 867 337.5 0.722 143.21 0.0181 +#> 873 2011-12-21 1451.00 1451 873 337.4 0.747 143.06 0.0207 +#> 874 2011-12-21 1451.50 1451 874 337.4 0.754 142.96 0.0215 +#> 880 2011-12-31 1461.00 1461 880 337.6 0.754 142.93 0.0214 +#> 881 2011-12-31 1461.50 1461 881 337.6 0.773 142.63 0.0239 +#> 887 2012-01-10 1471.00 1471 887 337.6 0.741 142.90 0.0200 +#> 888 2012-01-10 1471.50 1471 888 337.5 0.731 143.01 0.0190 +#> 894 2012-01-20 1481.00 1481 894 336.7 0.740 142.96 0.0199 +#> 895 2012-01-20 1481.50 1481 895 336.7 0.739 143.09 0.0198 +#> 901 2012-01-30 1491.00 1491 901 338.0 0.759 142.93 0.0220 +#> 902 2012-01-30 1491.50 1491 902 338.0 0.757 143.75 0.0217 +#> 903 2012-01-30 1491.91 1491 903 338.1 0.761 144.03 0.0221 +#> 909 2012-02-09 1501.00 1501 909 338.4 0.771 144.45 0.0234 +#> 911 2012-02-19 1511.00 1511 911 338.5 0.775 144.36 0.0239 +#> 913 2012-02-29 1521.00 1521 913 338.1 0.781 144.33 0.0248 +#> 915 2012-03-10 1531.00 1531 915 337.6 0.785 144.32 0.0254 +#> 917 2012-03-20 1541.00 1541 917 337.0 0.789 144.31 0.0259 +#> 919 2012-03-30 1551.00 1551 919 337.2 0.808 144.43 0.0292 +#> 924 2012-04-09 1561.00 1561 924 336.7 0.788 144.20 0.0258 +#> 926 2012-04-19 1571.00 1571 926 336.3 0.794 144.19 0.0268 +#> 928 2012-04-29 1581.00 1581 928 335.8 0.794 144.16 0.0268 +#> 930 2012-05-09 1591.00 1591 930 334.6 0.796 144.17 0.0271 +#> 932 2012-05-19 1601.00 1601 932 334.6 0.796 144.14 0.0271 +#> 934 2012-05-29 1611.00 1611 934 334.1 0.797 144.12 0.0273 +#> 936 2012-06-08 1621.00 1621 936 333.4 0.799 144.12 0.0276 +#> 938 2012-06-18 1631.00 1631 938 333.0 0.803 144.12 0.0282 +#> 943 2012-06-28 1641.00 1641 943 332.5 0.804 144.08 0.0284 +#> 957 2012-08-07 1681.00 1681 957 331.9 0.812 143.91 0.0300 +#> 959 2012-08-17 1691.00 1691 959 332.1 0.810 143.81 0.0297 +#> 962 2012-08-27 1701.00 1701 962 333.0 0.000 0.00 0.0000 +#> 965 2012-09-06 1711.00 1711 965 333.9 0.000 0.00 0.0000 +#> 968 2012-09-16 1721.00 1721 968 335.1 0.000 0.00 0.0000 +#> 971 2012-09-26 1731.00 1731 971 335.7 0.000 0.00 0.0000 +#> 972 2012-09-26 1731.44 1731 972 335.7 0.627 144.75 0.0116 +#> 973 2012-09-26 1731.76 1731 973 335.7 0.657 144.74 0.0133 +#> 980 2012-10-06 1741.00 1741 980 335.9 0.716 143.12 0.0176 +#> 983 2012-10-16 1751.00 1751 983 335.0 0.762 143.01 0.0223 +#> 985 2012-10-26 1761.00 1761 985 333.0 0.778 143.11 0.0245 +#> 988 2012-11-05 1771.00 1771 988 327.3 0.766 143.09 0.0229 +#> 991 2012-11-15 1781.00 1781 991 332.6 0.788 143.08 0.0260 +#> 994 2012-11-25 1791.00 1791 994 332.7 0.800 143.15 0.0279 +#> 996 2012-12-05 1801.00 1801 996 332.7 0.806 143.19 0.0291 +#> 998 2012-12-15 1811.00 1811 998 332.6 0.808 143.19 0.0294 +#> 1000 2012-12-25 1821.00 1821 1000 333.4 0.811 143.18 0.0299 +#> 1002 2013-01-04 1831.00 1831 1002 332.7 0.810 143.19 0.0299 +#> 1004 2013-01-14 1841.00 1841 1004 331.3 0.817 143.27 0.0311 +#> 1006 2013-01-24 1851.00 1851 1006 333.3 0.822 143.21 0.0322 +#> 1008 2013-02-03 1861.00 1861 1008 333.8 0.826 143.17 0.0331 +#> 1013 2013-02-13 1871.00 1871 1013 334.1 0.827 143.11 0.0334 +#> 1015 2013-02-23 1881.00 1881 1015 334.4 0.830 143.07 0.0341 +#> 1020 2013-03-05 1891.00 1891 1020 334.5 0.831 143.01 0.0345 +#> 1021 2013-03-05 1891.50 1891 1021 334.5 0.833 142.60 0.0351 +#> 1027 2013-03-15 1901.00 1901 1027 334.5 0.809 142.82 0.0296 +#> 1029 2013-03-25 1911.00 1911 1029 336.1 0.715 141.95 0.0177 +#> 1032 2013-04-04 1921.00 1921 1032 338.3 0.803 142.64 0.0286 +#> 1034 2013-04-14 1931.00 1931 1034 340.0 0.799 142.48 0.0279 +#> 1037 2013-04-24 1941.00 1941 1037 340.0 0.823 142.50 0.0327 +#> 1039 2013-05-04 1951.00 1951 1039 339.3 0.831 142.53 0.0345 +#> 1044 2013-05-14 1961.00 1961 1044 339.4 0.837 142.58 0.0361 +#> 1047 2013-05-24 1971.00 1971 1047 333.5 0.833 142.65 0.0349 +#> 1050 2013-06-03 1981.00 1981 1050 338.0 0.844 142.60 0.0380 +#> 1052 2013-06-13 1991.00 1991 1052 338.0 0.846 142.51 0.0385 +#> 1057 2013-06-23 2001.00 2001 1057 338.5 0.849 142.46 0.0394 +#> 1070 2013-08-02 2041.00 2041 1070 340.8 0.777 138.22 0.0252 +#> 1073 2013-08-12 2051.00 2051 1073 340.6 0.775 136.58 0.0252 +#> 1075 2013-08-22 2061.00 2061 1075 340.2 0.780 136.37 0.0260 +#> 1077 2013-09-01 2071.00 2071 1077 340.9 0.820 138.17 0.0330 +#> 1079 2013-09-11 2081.00 2081 1079 339.7 0.798 136.75 0.0289 +#> 1081 2013-09-21 2091.00 2091 1081 340.2 0.784 136.82 0.0265 +#> 1082 2013-09-21 2091.50 2091 1082 340.2 0.779 136.28 0.0258 +#> 1088 2013-10-01 2101.00 2101 1088 340.6 0.783 135.98 0.0265 +#> 1091 2013-10-11 2111.00 2111 1091 339.5 0.782 134.86 0.0266 +#> 1093 2013-10-21 2121.00 2121 1093 339.6 0.786 134.62 0.0273 +#> 1095 2013-10-31 2131.00 2131 1095 338.3 0.786 134.30 0.0273 +#> 1097 2013-11-10 2141.00 2141 1097 339.0 0.758 133.43 0.0235 +#> 1099 2013-11-20 2151.00 2151 1099 339.3 0.786 133.79 0.0274 +#> 1101 2013-11-30 2161.00 2161 1101 339.1 0.789 133.58 0.0279 +#> 1103 2013-12-10 2171.00 2171 1103 338.7 0.788 133.45 0.0278 +#> 1105 2013-12-20 2181.00 2181 1105 340.1 0.789 133.28 0.0281 +#> 1108 2013-12-30 2191.00 2191 1108 341.4 0.789 133.20 0.0282 +#> 1112 2014-01-09 2201.00 2201 1112 342.5 0.790 133.28 0.0283 +#> 1115 2014-01-16 2208.00 2208 1115 343.2 0.779 132.91 0.0265 +#> 1116 2014-01-17 2209.00 2209 1116 343.1 0.747 131.65 0.0224 +#> 1117 2014-01-19 2211.00 2211 1117 343.1 0.752 131.86 0.0230 +#> 1120 2014-01-29 2221.00 2221 1120 344.7 0.672 129.99 0.0158 +#> 1123 2014-02-08 2231.00 2231 1123 342.8 0.760 131.38 0.0241 +#> 1125 2014-02-18 2241.00 2241 1125 343.3 0.758 130.32 0.0240 +#> 1127 2014-02-28 2251.00 2251 1127 341.1 0.765 130.45 0.0250 +#> 1129 2014-03-10 2261.00 2261 1129 340.0 0.766 130.32 0.0252 +#> 1131 2014-03-20 2271.00 2271 1131 338.9 0.768 130.19 0.0254 +#> 1133 2014-03-30 2281.00 2281 1133 341.2 0.780 130.95 0.0271 +#> 1135 2014-04-09 2291.00 2291 1135 342.1 0.776 130.46 0.0265 +#> 1137 2014-04-19 2301.00 2301 1137 342.6 0.779 130.11 0.0270 +#> 1138 2014-04-22 2304.00 2304 1138 342.7 0.770 129.74 0.0258 +#> 1139 2014-04-23 2305.00 2305 1139 342.5 0.722 133.93 0.0194 +#> 1140 2014-04-24 2306.00 2306 1140 342.2 0.701 135.36 0.0173 +#> 1141 2014-04-25 2307.00 2307 1141 341.7 0.686 136.28 0.0160 +#> 1143 2014-04-27 2309.00 2309 1143 341.0 0.698 135.62 0.0171 +#> 1144 2014-04-29 2311.00 2311 1144 340.4 0.705 135.33 0.0176 +#> 1147 2014-05-09 2321.00 2321 1147 339.6 0.729 133.86 0.0201 +#> 1150 2014-05-19 2331.00 2331 1150 330.8 0.656 133.46 0.0143 +#> 1153 2014-05-29 2341.00 2341 1153 339.3 0.658 133.02 0.0144 +#> 1156 2014-06-08 2351.00 2351 1156 340.5 0.758 133.08 0.0235 +#> 1158 2014-06-18 2361.00 2361 1158 339.9 0.754 133.23 0.0230 +#> 1160 2014-06-28 2371.00 2371 1160 339.0 0.757 133.17 0.0235 +#> 1172 2014-08-07 2411.00 2411 1172 340.0 0.773 133.33 0.0255 +#> 1175 2014-08-17 2421.00 2421 1175 340.4 0.778 133.36 0.0263 +#> 1178 2014-08-27 2431.00 2431 1178 342.1 0.834 132.69 0.0378 +#> 1179 2014-08-27 2431.50 2431 1179 342.3 0.837 132.95 0.0388 +#> 1185 2014-09-06 2441.00 2441 1185 345.0 0.833 132.99 0.0375 +#> 1188 2014-09-16 2451.00 2451 1188 344.9 0.766 132.70 0.0246 +#> 1189 2014-09-16 2451.50 2451 1189 344.9 0.775 132.54 0.0260 +#> 1195 2014-09-26 2461.00 2461 1195 345.1 0.780 132.78 0.0268 +#> 1196 2014-09-26 2461.50 2461 1196 345.1 0.793 132.11 0.0289 +#> 1202 2014-10-06 2471.00 2471 1202 345.4 0.794 132.05 0.0291 +#> 1203 2014-10-06 2471.50 2471 1203 345.4 0.783 132.85 0.0272 +#> 1209 2014-10-16 2481.00 2481 1209 345.5 0.785 133.15 0.0275 +#> 1210 2014-10-16 2481.50 2481 1210 345.6 0.786 133.16 0.0275 +#> 1216 2014-10-26 2491.00 2491 1216 346.7 0.789 133.04 0.0282 +#> 1217 2014-10-26 2491.50 2491 1217 346.7 0.789 132.97 0.0281 +#> 1223 2014-11-05 2501.00 2501 1223 347.5 0.791 133.10 0.0285 +#> 1224 2014-11-05 2501.50 2501 1224 347.5 0.797 133.08 0.0295 +#> 1230 2014-11-15 2511.00 2511 1230 348.3 0.799 133.16 0.0298 +#> 1231 2014-11-15 2511.50 2511 1231 348.2 0.800 132.88 0.0301 +#> 1237 2014-11-25 2521.00 2521 1237 345.4 0.797 132.88 0.0296 +#> 1238 2014-11-28 2524.00 2524 1238 346.6 0.828 133.66 0.0359 +#> 1241 2014-12-05 2531.00 2531 1241 349.4 0.819 133.64 0.0338 +#> 1244 2014-12-15 2541.00 2541 1244 352.5 0.827 135.61 0.0352 +#> 1247 2014-12-25 2551.00 2551 1247 355.7 0.807 134.39 0.0312 +#> 1249 2015-01-01 2558.00 2558 1249 355.8 0.778 133.13 0.0264 +#> 1250 2015-01-04 2561.00 2561 1250 355.8 0.778 133.16 0.0262 +#> 1251 2015-01-04 2561.38 2561 1251 355.6 0.500 142.21 0.0070 +#> 1252 2015-01-04 2561.86 2561 1252 355.4 0.502 142.20 0.0071 +#> 1257 2015-01-14 2571.00 2571 1257 351.1 0.517 141.78 0.0075 +#> 1260 2015-01-24 2581.00 2581 1260 347.9 0.532 140.86 0.0081 +#> 1264 2015-02-03 2591.00 2591 1264 345.0 0.524 140.47 0.0078 +#> 1267 2015-02-13 2601.00 2601 1267 348.5 0.581 140.80 0.0099 +#> 1268 2015-02-13 2601.50 2601 1268 348.6 0.537 141.04 0.0082 +#> 1274 2015-02-23 2611.00 2611 1274 351.2 0.563 140.87 0.0091 +#> 1280 2015-03-05 2621.00 2621 1280 350.7 0.600 139.76 0.0107 +#> 1284 2015-03-15 2631.00 2631 1284 351.3 0.620 137.41 0.0119 +#> 1285 2015-03-15 2631.50 2631 1285 351.3 0.578 136.65 0.0100 +#> 1291 2015-03-25 2641.00 2641 1291 350.2 0.598 136.71 0.0109 +#> 1292 2015-03-25 2641.50 2641 1292 350.0 0.567 137.24 0.0095 +#> 1298 2015-04-04 2651.00 2651 1298 346.8 0.587 137.03 0.0104 +#> 1302 2015-04-14 2661.00 2661 1302 347.3 0.617 134.73 0.0120 +#> 1305 2015-04-24 2671.00 2671 1305 350.9 0.631 135.91 0.0126 +#> 1306 2015-04-24 2671.50 2671 1306 350.6 0.594 137.49 0.0106 +#> 1312 2015-05-04 2681.00 2681 1312 346.3 0.607 137.44 0.0112 +#> 1316 2015-05-14 2691.00 2691 1316 346.0 0.651 134.57 0.0139 +#> 1319 2015-05-24 2701.00 2701 1319 345.3 0.659 135.00 0.0143 +#> 1321 2015-06-03 2711.00 2711 1321 343.0 0.662 136.12 0.0144 +#> 1323 2015-06-13 2721.00 2721 1323 342.7 0.677 135.90 0.0154 +#> 1326 2015-06-23 2731.00 2731 1326 345.2 0.670 138.24 0.0147 +#> 1348 2015-08-02 2771.00 2771 1348 344.5 0.685 138.01 0.0157 +#> 1353 2015-08-12 2781.00 2781 1353 343.5 0.710 137.33 0.0178 +#> 1357 2015-08-15 2784.00 2784 1357 344.0 0.725 135.54 0.0194 +#> 1362 2015-08-22 2791.00 2791 1362 344.9 0.722 136.52 0.0190 +#> 1365 2015-09-01 2801.00 2801 1365 345.3 0.750 139.18 0.0216 +#> 1366 2015-09-01 2801.50 2801 1366 345.2 0.673 139.16 0.0148 +#> 1372 2015-09-11 2811.00 2811 1372 344.7 0.691 138.87 0.0161 +#> 1374 2015-09-21 2821.00 2821 1374 342.6 0.697 139.66 0.0165 +#> 1378 2015-10-01 2831.00 2831 1378 344.2 0.743 136.47 0.0212 +#> 1381 2015-10-11 2841.00 2841 1381 345.5 0.752 136.01 0.0223 +#> 1382 2015-10-11 2841.50 2841 1382 345.3 0.731 137.67 0.0197 +#> 1388 2015-10-21 2851.00 2851 1388 342.4 0.736 137.84 0.0202 +#> 1389 2015-10-21 2851.50 2851 1389 342.4 0.762 142.06 0.0225 +#> 1395 2015-10-31 2861.00 2861 1395 343.0 0.763 141.63 0.0227 +#> 1396 2015-10-31 2861.50 2861 1396 343.1 0.774 136.82 0.0251 +#> 1402 2015-11-10 2871.00 2871 1402 345.8 0.784 136.84 0.0265 +#> 1403 2015-11-10 2871.50 2871 1403 345.9 0.743 134.74 0.0214 +#> 1409 2015-11-20 2881.00 2881 1409 348.1 0.759 134.32 0.0235 +#> 1410 2015-11-20 2881.45 2881 1410 347.9 0.728 137.38 0.0195 +#> 1416 2015-11-30 2891.00 2891 1416 343.9 0.737 137.27 0.0204 +#> 1417 2015-11-30 2891.47 2891 1417 344.1 0.745 136.84 0.0214 +#> 1423 2015-12-10 2901.00 2901 1423 347.9 0.759 136.88 0.0230 +#> 1431 2015-12-20 2911.00 2911 1431 345.9 0.781 134.61 0.0266 +#> 1438 2015-12-30 2921.00 2921 1438 345.2 0.791 134.52 0.0281 +#> 1447 2016-01-09 2931.00 2931 1447 348.1 0.787 136.38 0.0271 +#> 1448 2016-01-09 2931.44 2931 1448 348.1 0.771 137.07 0.0246 +#> 1449 2016-01-09 2931.99 2931 1449 348.1 0.773 137.05 0.0249 +#> 1454 2016-01-19 2941.00 2941 1454 348.1 0.781 136.91 0.0260 +#> 1455 2016-01-19 2941.50 2941 1455 348.0 0.807 133.97 0.0311 +#> 1465 2016-01-29 2951.00 2951 1465 346.2 0.800 134.82 0.0297 +#> 1472 2016-02-08 2961.00 2961 1472 345.7 0.803 134.48 0.0303 +#> 1473 2016-02-08 2961.28 2961 1473 345.6 0.768 138.11 0.0239 +#> 1474 2016-02-08 2961.63 2961 1474 345.6 0.769 138.03 0.0241 +#> 1480 2016-02-18 2971.00 2971 1480 344.0 0.777 137.79 0.0253 +#> 1481 2016-02-18 2971.50 2971 1481 344.4 0.790 136.92 0.0275 +#> 1487 2016-02-28 2981.00 2981 1487 352.0 0.804 136.93 0.0300 +#> 1488 2016-02-28 2981.50 2981 1488 352.1 0.818 134.24 0.0335 +#> 1494 2016-03-09 2991.00 2991 1494 352.5 0.821 134.19 0.0341 +#> 1495 2016-03-09 2991.50 2991 1495 352.5 0.823 134.60 0.0346 +#> 1501 2016-03-19 3001.00 3001 1501 352.2 0.822 134.88 0.0342 +#> 1502 2016-03-19 3001.47 3001 1502 352.0 0.797 138.16 0.0284 +#> 1508 2016-03-29 3011.00 3011 1508 349.9 0.798 138.14 0.0286 +#> 1509 2016-03-29 3011.50 3011 1509 349.8 0.804 137.96 0.0298 +#> 1515 2016-04-08 3021.00 3021 1515 348.8 0.806 137.91 0.0302 +#> 1516 2016-04-08 3021.50 3021 1516 348.9 0.856 136.27 0.0435 +#> 1526 2016-04-18 3031.00 3031 1526 349.9 0.849 136.74 0.0412 +#> 1529 2016-04-28 3041.00 3041 1529 350.0 0.845 135.38 0.0402 +#> 1535 2016-05-08 3051.00 3051 1535 351.1 0.828 133.62 0.0361 +#> 1536 2016-05-08 3051.37 3051 1536 351.1 0.829 133.76 0.0362 +#> 1537 2016-05-08 3051.84 3051 1537 351.1 0.829 133.82 0.0362 +#> 1542 2016-05-18 3061.00 3061 1542 351.7 0.836 134.09 0.0380 +#> 1544 2016-05-28 3071.00 3071 1544 352.4 0.841 134.36 0.0394 +#> 1545 2016-05-28 3071.50 3071 1545 352.5 0.841 134.33 0.0394 +#> 1551 2016-06-07 3081.00 3081 1551 353.7 0.844 134.38 0.0402 +#> 1552 2016-06-07 3081.50 3081 1552 353.7 0.844 134.18 0.0402 +#> 1558 2016-06-17 3091.00 3091 1558 353.9 0.845 134.24 0.0407 +#> 1559 2016-06-17 3091.50 3091 1559 354.0 0.844 134.41 0.0403 +#> 1565 2016-06-27 3101.00 3101 1565 354.4 0.847 134.45 0.0411 +#> 1566 2016-06-27 3101.50 3101 1566 354.4 0.847 134.45 0.0412 +#> 1584 2016-08-06 3141.00 3141 1584 355.0 0.809 132.54 0.0319 +#> 1588 2016-08-16 3151.00 3151 1588 356.5 0.806 131.76 0.0315 +#> 1592 2016-08-26 3161.00 3161 1592 357.6 0.802 129.42 0.0313 +#> 1596 2016-09-05 3171.00 3171 1596 352.6 0.772 129.44 0.0261 +#> 1600 2016-09-15 3181.00 3181 1600 343.9 0.758 128.92 0.0244 +#> 1602 2016-09-20 3186.00 3186 1602 339.8 0.754 128.65 0.0238 +#> 1603 2016-09-20 3186.10 3186 1603 339.8 0.000 0.00 0.0000 +#> 1604 2016-09-20 3186.31 3186 1604 339.8 0.000 0.00 0.0000 +#> 1605 2016-09-20 3186.65 3186 1605 339.8 0.000 0.00 0.0000 +#> 1610 2016-10-01 3197.00 3197 1610 341.7 0.000 0.00 0.0000 +#> ocip ooip oil_otw wat_otw gas_otw pav +#> 7 21967456 21967455 0 0 0 329.61 +#> 10 21967455 21967455 0 0 0 329.62 +#> 13 21967454 21967455 0 0 0 329.63 +#> 15 21967454 21967455 0 0 0 329.64 +#> 17 21948189 21967455 19265 0 3055593 325.21 +#> 18 21936614 21967455 30840 0 4884638 322.63 +#> 19 21925419 21967455 42035 0 6650055 320.17 +#> 21 21897024 21967455 70430 0 11113293 314.17 +#> 23 21867231 21967455 100223 1 15777548 308.19 +#> 24 21867231 21967455 100223 1 15777548 308.19 +#> 30 21846585 21967455 120869 1 19001704 304.49 +#> 32 21817273 21967455 150181 1 23563796 298.99 +#> 34 21795112 21967455 172342 1 27005099 295.18 +#> 35 21795112 21967455 172342 1 27005099 295.18 +#> 42 21772752 21967455 194702 22293 30471061 294.70 +#> 46 21741263 21967455 226192 89687 35337576 298.77 +#> 50 21698683 21967455 268771 161434 41894741 300.71 +#> 54 21648557 21967455 318898 234843 49587013 301.08 +#> 57 21610378 21967455 357076 288185 55430780 300.98 +#> 58 21585522 21967455 381932 320326 59229491 300.51 +#> 60 21560660 21967455 406794 352466 63026777 300.03 +#> 63 21511310 21967455 456145 427804 70554340 300.82 +#> 73 21306747 21967455 660707 712585 102203150 299.58 +#> 75 21231589 21967455 735865 789986 113894828 294.94 +#> 78 21185589 21967455 781866 868196 120979880 296.96 +#> 79 21185589 21967455 781866 868196 120979880 296.96 +#> 80 21185589 21967455 781866 868196 120979880 296.96 +#> 88 21165052 21967455 802402 918119 124172860 300.15 +#> 91 21101690 21967455 865765 958407 134059767 292.10 +#> 97 21022572 21967455 944881 1005365 146185764 282.90 +#> 100 20943696 21967455 1023758 1094847 158143375 280.43 +#> 102 20875714 21967455 1091740 1192314 168448408 280.72 +#> 105 20801343 21967455 1166111 1323101 179756599 283.88 +#> 108 20719726 21967455 1247728 1449994 192181042 285.04 +#> 111 20636358 21967455 1331096 1590655 204851856 287.78 +#> 114 20553570 21967455 1413884 1725664 217460512 289.82 +#> 115 20553570 21967455 1413884 1725664 217460512 289.82 +#> 116 20553570 21967455 1413884 1725664 217460512 289.82 +#> 121 20471952 21967455 1495501 1892955 229909795 297.08 +#> 124 20384837 21967455 1582616 2054024 243210336 302.04 +#> 125 20358286 21967455 1609167 2103848 247239641 303.67 +#> 126 20349432 21967455 1618021 2120455 248582186 304.21 +#> 128 20296243 21967455 1671211 2220102 256624865 307.45 +#> 136 20208488 21967455 1758964 2379364 269833572 311.98 +#> 143 20121699 21967455 1845753 2538125 282862053 316.67 +#> 151 20034683 21967455 1932770 2702082 295948053 322.17 +#> 158 19952076 21967455 2015376 2844760 308314318 325.19 +#> 159 19952076 21967455 2015376 2844760 308314318 325.19 +#> 160 19952076 21967455 2015376 2844760 308314318 325.19 +#> 166 19871095 21967455 2096356 2989830 320415692 329.10 +#> 167 19871095 21967455 2096356 2989830 320415692 329.10 +#> 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11304215 1148260478 339.34 +#> 1101 14152282 21967455 7815142 11336934 1151341074 339.09 +#> 1103 14131588 21967455 7835836 11364889 1154103143 338.74 +#> 1105 14114659 21967455 7852765 11394940 1156359686 340.11 +#> 1108 14093570 21967455 7873854 11431479 1159169486 341.44 +#> 1112 14074061 21967455 7893363 11462215 1161769324 342.47 +#> 1115 14058164 21967455 7909260 11488939 1163881784 343.20 +#> 1116 14055453 21967455 7911971 11492754 1164238654 343.14 +#> 1117 14050185 21967455 7917239 11500379 1164933267 343.10 +#> 1120 14025976 21967455 7941447 11542150 1168092627 344.72 +#> 1123 14008560 21967455 7958863 11556095 1170383066 342.85 +#> 1125 13987521 21967455 7979903 11586371 1173129791 343.25 +#> 1127 13961899 21967455 8005524 11612886 1176474406 341.15 +#> 1129 13936170 21967455 8031253 11644226 1179828863 339.99 +#> 1131 13910488 21967455 8056935 11675563 1183173590 338.87 +#> 1133 13895884 21967455 8071539 11706069 1185085485 341.18 +#> 1135 13873370 21967455 8094053 11742707 1188023839 342.12 +#> 1137 13848705 21967455 8118718 11780546 1191234290 342.59 +#> 1138 13841396 21967455 8126027 11791625 1192182541 342.71 +#> 1139 13838255 21967455 8129169 11795309 1192603281 342.50 +#> 1140 13834768 21967455 8132655 11798986 1193075171 342.17 +#> 1141 13831016 21967455 8136407 11802650 1193586523 341.74 +#> 1143 13823883 21967455 8143540 11809920 1194554145 341.04 +#> 1144 13816929 21967455 8150494 11817055 1195495233 340.38 +#> 1147 13783844 21967455 8183580 11861198 1199927202 339.57 +#> 1150 13759772 21967455 8207651 11852612 1203138401 330.81 +#> 1153 13733184 21967455 8234238 11930464 1206675583 339.30 +#> 1156 13704361 21967455 8263060 11977687 1210514081 340.51 +#> 1158 13675071 21967455 8292350 12017199 1214416129 339.94 +#> 1160 13648413 21967455 8319008 12050238 1217964199 338.96 +#> 1172 13543294 21967455 8424128 12202706 1231965858 340.02 +#> 1175 13517407 21967455 8450014 12240960 1235418427 340.41 +#> 1178 13510721 21967455 8456701 12256453 1236305660 342.14 +#> 1179 13510721 21967455 8456701 12256453 1236305660 342.14 +#> 1185 13494438 21967455 8472982 12293018 1238470038 344.96 +#> 1188 13467341 21967455 8500079 12333172 1242066580 344.93 +#> 1189 13467341 21967455 8500079 12333172 1242066580 344.93 +#> 1195 13441452 21967455 8525968 12371640 1245500050 345.09 +#> 1196 13441452 21967455 8525968 12371640 1245500050 345.09 +#> 1202 13420486 21967455 8546934 12402411 1248268050 345.37 +#> 1203 13420486 21967455 8546934 12402411 1248268050 345.37 +#> 1209 13396088 21967455 8571331 12438326 1251515249 345.51 +#> 1210 13396088 21967455 8571331 12438326 1251515249 345.51 +#> 1216 13372618 21967455 8594801 12477640 1254638088 346.66 +#> 1217 13372618 21967455 8594801 12477640 1254638088 346.66 +#> 1223 13349670 21967455 8617749 12514547 1257691977 347.49 +#> 1224 13349670 21967455 8617749 12514547 1257691977 347.49 +#> 1230 13326642 21967455 8640777 12551602 1260757981 348.32 +#> 1231 13326642 21967455 8640777 12551602 1260757981 348.32 +#> 1237 13304735 21967455 8662683 12569596 1263668628 345.44 +#> 1238 13302834 21967455 8664585 12577168 1263922730 346.56 +#> 1241 13298273 21967455 8669146 12595015 1264532502 349.35 +#> 1244 13291800 21967455 8675619 12616675 1265410792 352.52 +#> 1247 13283998 21967455 8683421 12641863 1266459669 355.74 +#> 1249 13277077 21967455 8690341 12652182 1267380892 355.77 +#> 1250 13274092 21967455 8693326 12656631 1267778294 355.83 +#> 1251 13274092 21967455 8693326 12656631 1267778294 355.83 +#> 1252 13274092 21967455 8693326 12656631 1267778294 355.83 +#> 1257 13240048 21967455 8727370 12687819 1272612621 351.12 +#> 1260 13208457 21967455 8758961 12719249 1277068048 347.91 +#> 1264 13180148 21967455 8787270 12746384 1281049356 345.03 +#> 1267 13155108 21967455 8812309 12797197 1284576495 348.51 +#> 1268 13155108 21967455 8812309 12797197 1284576495 348.51 +#> 1274 13120750 21967455 8846665 12859900 1289418094 351.21 +#> 1280 13090801 21967455 8876615 12900572 1293607763 350.69 +#> 1284 13063152 21967455 8904263 12942597 1297413150 351.34 +#> 1285 13063152 21967455 8904263 12942597 1297413150 351.34 +#> 1291 13031743 21967455 8935673 12984390 1301707789 350.21 +#> 1292 13031743 21967455 8935673 12984390 1301707789 350.21 +#> 1298 12995940 21967455 8971476 13022401 1306616932 346.79 +#> 1302 12966458 21967455 9000957 13066538 1310589718 347.32 +#> 1305 12934850 21967455 9032565 13129006 1314882414 350.88 +#> 1306 12934850 21967455 9032565 13129006 1314882414 350.88 +#> 1312 12898794 21967455 9068621 13162686 1319839748 346.32 +#> 1316 12871526 21967455 9095890 13199274 1323509653 346.01 +#> 1319 12844931 21967455 9122484 13233587 1327099279 345.34 +#> 1321 12816728 21967455 9150687 13263378 1330939295 343.02 +#> 1323 12791276 21967455 9176140 13297226 1334397657 342.67 +#> 1326 12762295 21967455 9205121 13350230 1338406291 345.19 +#> 1348 12656265 21967455 9311149 13498615 1352933117 344.52 +#> 1353 12632236 21967455 9335178 13528184 1356233028 343.54 +#> 1357 12625860 21967455 9341554 13538483 1357097918 343.98 +#> 1362 12610607 21967455 9356807 13563103 1359182912 344.87 +#> 1365 12600441 21967455 9366973 13575749 1360603813 345.25 +#> 1366 12600441 21967455 9366973 13575749 1360603813 345.25 +#> 1372 12574345 21967455 9393069 13611745 1364229439 344.68 +#> 1374 12548351 21967455 9419063 13640745 1367860156 342.65 +#> 1378 12529806 21967455 9437608 13672222 1370390795 344.16 +#> 1381 12510002 21967455 9457412 13705381 1373083693 345.48 +#> 1382 12510002 21967455 9457412 13705381 1373083693 345.48 +#> 1388 12487017 21967455 9480397 13725353 1376250981 342.37 +#> 1389 12487017 21967455 9480397 13725353 1376250981 342.37 +#> 1395 12468197 21967455 9499217 13754076 1378919647 342.99 +#> 1396 12468197 21967455 9499217 13754076 1378919647 342.99 +#> 1402 12451331 21967455 9516083 13788834 1381227245 345.77 +#> 1403 12451331 21967455 9516083 13788834 1381227245 345.77 +#> 1409 12428397 21967455 9539017 13833016 1384310042 348.14 +#> 1410 12428397 21967455 9539017 13833016 1384310042 348.14 +#> 1416 12403286 21967455 9564129 13852684 1387757934 343.89 +#> 1417 12403286 21967455 9564129 13852684 1387757934 343.89 +#> 1423 12381107 21967455 9586307 13903003 1390793297 347.94 +#> 1431 12361542 21967455 9605872 13921193 1393428990 345.86 +#> 1438 12343800 21967455 9623615 13942666 1395816616 345.24 +#> 1447 12325781 21967455 9641634 13980796 1398272598 348.10 +#> 1448 12325781 21967455 9641634 13980796 1398272598 348.10 +#> 1449 12325781 21967455 9641634 13980796 1398272598 348.10 +#> 1454 12304724 21967455 9662691 14012498 1401156775 348.14 +#> 1455 12304724 21967455 9662691 14012498 1401156775 348.14 +#> 1465 12287299 21967455 9680116 14028250 1403505464 346.19 +#> 1472 12270443 21967455 9696972 14049150 1405773143 345.66 +#> 1473 12270443 21967455 9696972 14049150 1405773143 345.66 +#> 1474 12270443 21967455 9696972 14049150 1405773143 345.66 +#> 1480 12249902 21967455 9717514 14072352 1408605786 343.97 +#> 1481 12249902 21967455 9717514 14072352 1408605786 343.97 +#> 1487 12231705 21967455 9735711 14133988 1411097057 352.03 +#> 1488 12231705 21967455 9735711 14133988 1411097057 352.03 +#> 1494 12215508 21967455 9751907 14159197 1413270795 352.50 +#> 1495 12215508 21967455 9751907 14159197 1413270795 352.50 +#> 1501 12200126 21967455 9767289 14179658 1415343981 352.16 +#> 1502 12200126 21967455 9767289 14179658 1415343981 352.16 +#> 1508 12181421 21967455 9785994 14198114 1417928545 349.91 +#> 1509 12181421 21967455 9785994 14198114 1417928545 349.91 +#> 1515 12164717 21967455 9802698 14217140 1420232722 348.84 +#> 1516 12164717 21967455 9802698 14217140 1420232722 348.84 +#> 1526 12153329 21967455 9814086 14234562 1421789915 349.92 +#> 1529 12142007 21967455 9825409 14246722 1423322825 350.02 +#> 1535 12127765 21967455 9839651 14268714 1425224327 351.06 +#> 1536 12127765 21967455 9839651 14268714 1425224327 351.06 +#> 1537 12127765 21967455 9839651 14268714 1425224327 351.06 +#> 1542 12114127 21967455 9853289 14288573 1427051569 351.74 +#> 1544 12101342 21967455 9866074 14307475 1428768955 352.40 +#> 1545 12101342 21967455 9866074 14307475 1428768955 352.40 +#> 1551 12088900 21967455 9878516 14328689 1430440619 353.67 +#> 1552 12088900 21967455 9878516 14328689 1430440619 353.67 +#> 1558 12076650 21967455 9890766 14345647 1432084650 353.93 +#> 1559 12076650 21967455 9890766 14345647 1432084650 353.93 +#> 1565 12063894 21967455 9903522 14364372 1433799645 354.38 +#> 1566 12063894 21967455 9903522 14364372 1433799645 354.38 +#> 1584 12023387 21967455 9944030 14419367 1439202780 355.01 +#> 1588 12014776 21967455 9952640 14436777 1440336643 356.54 +#> 1592 12007032 21967455 9960384 14451239 1441338719 357.65 +#> 1596 11999150 21967455 9968267 14440062 1442360056 352.55 +#> 1600 11990860 21967455 9976556 14413503 1443430344 343.93 +#> 1602 11986597 21967455 9980819 14400379 1443979050 339.76 +#> 1603 11986597 21967455 9980819 14400379 1443979050 339.76 +#> 1604 11986597 21967455 9980819 14400379 1443979050 339.76 +#> 1605 11986597 21967455 9980819 14400379 1443979050 339.76 +#> 1610 11986597 21967455 9980819 14400379 1443979050 341.68 +``` + +``` r +ggplot(step_totals, aes(x = date, y = oil_otw)) + + geom_line() + + ggtitle("Cumulative Oil, sm3", subtitle = "Simulator") +``` + + + +## Difference with historical production + +``` r +library(xlsx) # library to read Excel files in R + +# read the Excel file +proj_root <- rprojroot::find_rstudio_root_file() # get the project root folder +xl_file <- file.path(proj_root, "inst/rawdata", "Volve production data.xlsx") +# read only the monthly production +prod_hist <- read.xlsx(xl_file, sheetName = "Monthly Production Data") +prod_hist +#> Wellbore.name NPDCode Year Month On.Stream Oil +#> 1 15/9-F-4 5693 2007 9 NULL NULL +#> 2 15/9-F-5 5769 2007 9 NULL NULL +#> 3 15/9-F-4 5693 2007 10 NULL NULL +#> 4 15/9-F-5 5769 2007 10 NULL NULL +#> 5 15/9-F-4 5693 2007 11 NULL NULL +#> 6 15/9-F-5 5769 2007 11 NULL NULL +#> 7 15/9-F-4 5693 2007 12 NULL NULL +#> 8 15/9-F-5 5769 2007 12 NULL NULL +#> 9 15/9-F-4 5693 2008 1 0 NULL +#> 10 15/9-F-5 5769 2008 1 0 NULL +#> 11 15/9-F-12 5599 2008 2 406.62499 49091.06 +#> 12 15/9-F-14 5351 2008 2 0 0 +#> 13 15/9-F-4 5693 2008 2 0 NULL +#> 14 15/9-F-5 5769 2008 2 0 NULL +#> 15 15/9-F-12 5599 2008 3 655.10834 83361.26 +#> 16 15/9-F-14 5351 2008 3 0 0 +#> 17 15/9-F-4 5693 2008 3 0 NULL +#> 18 15/9-F-5 5769 2008 3 0 NULL +#> 19 15/9-F-12 5599 2008 4 613.64666 74532.45 +#> 20 15/9-F-14 5351 2008 4 0 0 +#> 21 15/9-F-4 5693 2008 4 118.65 NULL +#> 22 15/9-F-5 5769 2008 4 0 NULL +#> 23 15/9-F-12 5599 2008 5 716.19167 125478.56 +#> 24 15/9-F-14 5351 2008 5 0 0 +#> 25 15/9-F-4 5693 2008 5 714.005 NULL +#> 26 15/9-F-5 5769 2008 5 0 NULL +#> 27 15/9-F-12 5599 2008 6 675.91669 143786.85 +#> 28 15/9-F-14 5351 2008 6 0 0 +#> 29 15/9-F-4 5693 2008 6 598.81667 NULL +#> 30 15/9-F-5 5769 2008 6 0 NULL +#> 31 15/9-F-12 5599 2008 7 710.74165 114994.61 +#> 32 15/9-F-14 5351 2008 7 437.57 51285.08 +#> 33 15/9-F-4 5693 2008 7 620.80833 NULL +#> 34 15/9-F-5 5769 2008 7 0 NULL +#> 35 15/9-F-12 5599 2008 8 672.83334 97822.46 +#> 36 15/9-F-14 5351 2008 8 458.4 67621.2 +#> 37 15/9-F-4 5693 2008 8 663.07502 NULL +#> 38 15/9-F-5 5769 2008 8 98.08167 NULL +#> 39 15/9-F-12 5599 2008 9 567.97499 77666.95 +#> 40 15/9-F-14 5351 2008 9 642.70833 114596.26 +#> 41 15/9-F-4 5693 2008 9 558.14562 NULL +#> 42 15/9-F-5 5769 2008 9 557.88057 NULL +#> 43 15/9-F-12 5599 2008 10 737.50001 94357.23 +#> 44 15/9-F-14 5351 2008 10 742.5 142817.06 +#> 45 15/9-F-4 5693 2008 10 701.91667 NULL +#> 46 15/9-F-5 5769 2008 10 563.99999 NULL +#> 47 15/9-F-12 5599 2008 11 712.66667 145915.56 +#> 48 15/9-F-14 5351 2008 11 717.83333 104409.61 +#> 49 15/9-F-4 5693 2008 11 711.66667 NULL +#> 50 15/9-F-5 5769 2008 11 716.16667 NULL +#> 51 15/9-F-12 5599 2008 12 744 166439.67 +#> 52 15/9-F-14 5351 2008 12 744 110199.28 +#> 53 15/9-F-4 5693 2008 12 742.66666 NULL +#> 54 15/9-F-5 5769 2008 12 742.25 NULL +#> 55 15/9-F-12 5599 2009 1 740.83332 153677.16 +#> 56 15/9-F-14 5351 2009 1 705.16665 115572.66 +#> 57 15/9-F-4 5693 2009 1 699.33332 NULL +#> 58 15/9-F-5 5769 2009 1 697.49998 NULL +#> 59 15/9-F-12 5599 2009 2 656.30834 121905.01 +#> 60 15/9-F-14 5351 2009 2 638.41668 113880.98 +#> 61 15/9-F-4 5693 2009 2 639.66667 NULL +#> 62 15/9-F-5 5769 2009 2 635.74999 NULL +#> 63 15/9-F-12 5599 2009 3 506.33334 92958.71 +#> 64 15/9-F-14 5351 2009 3 530.80333 90644.44 +#> 65 15/9-F-4 5693 2009 3 191.08332 NULL +#> 66 15/9-F-5 5769 2009 3 224.58334 NULL +#> 67 15/9-F-12 5599 2009 4 719.16667 150955.68 +#> 68 15/9-F-14 5351 2009 4 537.63334 86944.06 +#> 69 15/9-F-4 5693 2009 4 543.8 NULL +#> 70 15/9-F-5 5769 2009 4 531.55 NULL +#> 71 15/9-F-12 5599 2009 5 695.16666 141039.01 +#> 72 15/9-F-14 5351 2009 5 694.66667 116175.04 +#> 73 15/9-F-4 5693 2009 5 710.5 NULL +#> 74 15/9-F-5 5769 2009 5 706.99999 NULL +#> 75 15/9-F-12 5599 2009 6 715.31666 132429.71 +#> 76 15/9-F-14 5351 2009 6 691.89998 86654.03 +#> 77 15/9-F-4 5693 2009 6 690.64999 NULL +#> 78 15/9-F-5 5769 2009 6 690.73332 NULL +#> 79 15/9-F-12 5599 2009 7 742.16666 106105.25 +#> 80 15/9-F-14 5351 2009 7 742.16666 64871.82 +#> 81 15/9-F-4 5693 2009 7 734.83333 NULL +#> 82 15/9-F-5 5769 2009 7 734.83333 NULL +#> 83 15/9-F-12 5599 2009 8 589.075 112414.27 +#> 84 15/9-F-14 5351 2009 8 656.82498 112493.5 +#> 85 15/9-F-4 5693 2009 8 704.825 NULL +#> 86 15/9-F-5 5769 2009 8 703.82499 NULL +#> 87 15/9-F-12 5599 2009 9 493.25 90098.89 +#> 88 15/9-F-14 5351 2009 9 509.07501 90349.8 +#> 89 15/9-F-4 5693 2009 9 509.66667 NULL +#> 90 15/9-F-5 5769 2009 9 509.16667 NULL +#> 91 15/9-F-12 5599 2009 10 683.74166 126939.65 +#> 92 15/9-F-14 5351 2009 10 655.42499 96707.32 +#> 93 15/9-F-4 5693 2009 10 683.72853 NULL +#> 94 15/9-F-5 5769 2009 10 682.25168 NULL +#> 95 15/9-F-12 5599 2009 11 705.75001 136015.68 +#> 96 15/9-F-14 5351 2009 11 709.25001 98043.5 +#> 97 15/9-F-4 5693 2009 11 706.24999 NULL +#> 98 15/9-F-5 5769 2009 11 705.58333 NULL +#> 99 15/9-F-12 5599 2009 12 728.5 158001.52 +#> 100 15/9-F-14 5351 2009 12 726.66667 89514.35 +#> 101 15/9-F-4 5693 2009 12 739.5 NULL +#> 102 15/9-F-5 5769 2009 12 738.16666 NULL +#> 103 15/9-F-12 5599 2010 1 742.16666 149658.83 +#> 104 15/9-F-14 5351 2010 1 742.16666 82221.25 +#> 105 15/9-F-4 5693 2010 1 735.16667 NULL +#> 106 15/9-F-5 5769 2010 1 735.66667 NULL +#> 107 15/9-F-12 5599 2010 2 608.725 103026 +#> 108 15/9-F-14 5351 2010 2 610.175 62092.98 +#> 109 15/9-F-4 5693 2010 2 596.16667 NULL +#> 110 15/9-F-5 5769 2010 2 595.41668 NULL +#> 111 15/9-F-12 5599 2010 3 647.66666 101571.61 +#> 112 15/9-F-14 5351 2010 3 654.10832 66989.25 +#> 113 15/9-F-4 5693 2010 3 622.40834 NULL +#> 114 15/9-F-5 5769 2010 3 571.00834 NULL +#> 115 15/9-F-12 5599 2010 4 705.99999 86253.61 +#> 116 15/9-F-14 5351 2010 4 679.80833 73035.81 +#> 117 15/9-F-4 5693 2010 4 669.83335 NULL +#> 118 15/9-F-5 5769 2010 4 449.39168 NULL +#> 119 15/9-F-12 5599 2010 5 733.16667 77113.56 +#> 120 15/9-F-14 5351 2010 5 740.16667 87809.28 +#> 121 15/9-F-4 5693 2010 5 744 NULL +#> 122 15/9-F-5 5769 2010 5 744 NULL +#> 123 15/9-F-12 5599 2010 6 717.16667 69617.37 +#> 124 15/9-F-14 5351 2010 6 717.75 75309.82 +#> 125 15/9-F-4 5693 2010 6 715.66667 NULL +#> 126 15/9-F-5 5769 2010 6 716.66667 NULL +#> 127 15/9-F-12 5599 2010 7 742.33334 64039.69 +#> 128 15/9-F-14 5351 2010 7 742.41667 69600.25 +#> 129 15/9-F-4 5693 2010 7 743.5 NULL +#> 130 15/9-F-5 5769 2010 7 743.16667 NULL +#> 131 15/9-F-12 5599 2010 8 427.43334 30117.36 +#> 132 15/9-F-14 5351 2010 8 425.1 38413.73 +#> 133 15/9-F-4 5693 2010 8 420.26666 NULL +#> 134 15/9-F-5 5769 2010 8 447.14166 NULL +#> 135 15/9-F-12 5599 2010 9 644.74999 51312.93 +#> 136 15/9-F-14 5351 2010 9 566.14999 55405.21 +#> 137 15/9-F-4 5693 2010 9 631.15833 NULL +#> 138 15/9-F-5 5769 2010 9 695.41667 NULL +#> 139 15/9-F-12 5599 2010 10 743.00001 51430.58 +#> 140 15/9-F-14 5351 2010 10 743.16666 78755.31 +#> 141 15/9-F-4 5693 2010 10 700.57499 NULL +#> 142 15/9-F-5 5769 2010 10 717.58332 NULL +#> 143 15/9-F-12 5599 2010 11 690.33333 44468.45 +#> 144 15/9-F-14 5351 2010 11 683.41667 62555.48 +#> 145 15/9-F-4 5693 2010 11 644.84167 NULL +#> 146 15/9-F-5 5769 2010 11 703.91667 NULL +#> 147 15/9-F-12 5599 2010 12 741.33333 45217.96 +#> 148 15/9-F-14 5351 2010 12 741.5 63886.23 +#> 149 15/9-F-4 5693 2010 12 716.83334 NULL +#> 150 15/9-F-5 5769 2010 12 732.66667 NULL +#> 151 15/9-F-12 5599 2011 1 743.5 44746.55 +#> 152 15/9-F-14 5351 2011 1 744 61328.45 +#> 153 15/9-F-4 5693 2011 1 731.08333 NULL +#> 154 15/9-F-5 5769 2011 1 744 NULL +#> 155 15/9-F-12 5599 2011 2 557.24999 29157.49 +#> 156 15/9-F-14 5351 2011 2 561.5 44066.31 +#> 157 15/9-F-4 5693 2011 2 536.74998 NULL +#> 158 15/9-F-5 5769 2011 2 532.74998 NULL +#> 159 15/9-F-12 5599 2011 3 729.83334 37395.05 +#> 160 15/9-F-14 5351 2011 3 732.5 56709.96 +#> 161 15/9-F-4 5693 2011 3 716.25001 NULL +#> 162 15/9-F-5 5769 2011 3 728.00001 NULL +#> 163 15/9-F-12 5599 2011 4 717.91667 37819.72 +#> 164 15/9-F-14 5351 2011 4 717.66667 51814.24 +#> 165 15/9-F-4 5693 2011 4 696.5 NULL +#> 166 15/9-F-5 5769 2011 4 700.83334 NULL +#> 167 15/9-F-12 5599 2011 5 736.04167 37204.71 +#> 168 15/9-F-14 5351 2011 5 741.25 51121.62 +#> 169 15/9-F-4 5693 2011 5 737.25001 NULL +#> 170 15/9-F-5 5769 2011 5 736.50001 NULL +#> 171 15/9-F-12 5599 2011 6 463.26667 22026.06 +#> 172 15/9-F-14 5351 2011 6 465.175 31194.51 +#> 173 15/9-F-4 5693 2011 6 436.09167 NULL +#> 174 15/9-F-5 5769 2011 6 461.67501 NULL +#> 175 15/9-F-12 5599 2011 7 245.24669 12462.42 +#> 176 15/9-F-14 5351 2011 7 254.50833 20211.31 +#> 177 15/9-F-4 5693 2011 7 248.09168 NULL +#> 178 15/9-F-5 5769 2011 7 242.50835 NULL +#> 179 15/9-F-12 5599 2011 8 651.49332 36380.15 +#> 180 15/9-F-14 5351 2011 8 652.325 49730.28 +#> 181 15/9-F-4 5693 2011 8 642.825 NULL +#> 182 15/9-F-5 5769 2011 8 644.49168 NULL +#> 183 15/9-F-12 5599 2011 9 707 29999.17 +#> 184 15/9-F-14 5351 2011 9 708 51053.13 +#> 185 15/9-F-4 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207 15/9-F-12 5599 2012 3 740.41666 26679.88 +#> 208 15/9-F-14 5351 2012 3 740.83334 34745.59 +#> 209 15/9-F-4 5693 2012 3 735.08334 NULL +#> 210 15/9-F-5 5769 2012 3 737.20834 NULL +#> 211 15/9-F-12 5599 2012 4 710.29167 24088.35 +#> 212 15/9-F-14 5351 2012 4 720 36509.79 +#> 213 15/9-F-4 5693 2012 4 720 NULL +#> 214 15/9-F-5 5769 2012 4 720 NULL +#> 215 15/9-F-12 5599 2012 5 737.69167 22415.15 +#> 216 15/9-F-14 5351 2012 5 741.08334 35051.96 +#> 217 15/9-F-4 5693 2012 5 733.08334 NULL +#> 218 15/9-F-5 5769 2012 5 732.33334 NULL +#> 219 15/9-F-12 5599 2012 6 711.33334 20887.38 +#> 220 15/9-F-14 5351 2012 6 711.16667 31665.55 +#> 221 15/9-F-4 5693 2012 6 710.16667 NULL +#> 222 15/9-F-5 5769 2012 6 710.66667 NULL +#> 223 15/9-F-12 5599 2012 7 744 21206.94 +#> 224 15/9-F-14 5351 2012 7 744 32960.7 +#> 225 15/9-F-4 5693 2012 7 744 NULL +#> 226 15/9-F-5 5769 2012 7 740.33333 NULL +#> 227 15/9-F-12 5599 2012 8 288.625 8998.24 +#> 228 15/9-F-14 5351 2012 8 288.625 12689.84 +#> 229 15/9-F-4 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1662453.18 37288 NULL NULL +#> 462 790131.36 94593.75 NULL NULL +#> 463 751606.71 5075.94 NULL NULL +#> 464 NULL NULL NULL 152921.636901458 +#> 465 NULL NULL NULL 145383.330627292 +#> 466 471675.96 14036.28 NULL NULL +#> 467 4949940.78 67980.66 NULL NULL +#> 468 1487340.06 38969.86 NULL NULL +#> 469 721123.87 97147.72 NULL NULL +#> 470 445568.02 3648.91 NULL NULL +#> 471 NULL NULL NULL 152129.935574583 +#> 472 NULL NULL NULL 148394.556099792 +#> 473 742339.77 15945.73 NULL NULL +#> 474 4093286.56 66610.49 NULL NULL +#> 475 1205549.1 35253.46 NULL NULL +#> 476 621658.73 86357.85 NULL NULL +#> 477 805794.85 5891.02 NULL NULL +#> 478 NULL NULL NULL 148078.126220417 +#> 479 NULL NULL NULL 164188.597139375 +#> 480 476830.19 13410.89 NULL NULL +#> 481 4032038.1 76636.96 NULL NULL +#> 482 1185893.56 40507.21 NULL NULL +#> 483 604911.16 98119.24 NULL NULL +#> 484 600593.91 5035.04 NULL NULL +#> 485 NULL NULL NULL 141201.785620625 +#> 486 NULL NULL NULL 139810.591270625 +#> 487 274213.17 4441.13 NULL NULL +#> 488 2194427.05 57931.66 NULL NULL +#> 489 1015034.36 37126.04 NULL NULL +#> 490 514414.42 91934.95 NULL NULL +#> 491 751127.49 5688.1 NULL NULL +#> 492 NULL NULL NULL 220078.315135417 +#> 493 538638.56 2380.78 NULL 20226.95879 +#> 494 2450713.77 73445.23 NULL NULL +#> 495 925513.84 36147.78 NULL NULL +#> 496 506857.03 89415.55 NULL NULL +#> 497 740192.61 6004.13 NULL NULL +#> 498 NULL NULL NULL 269279.176161042 +#> 499 1534677.16 3949.9 NULL 0 +#> 500 2349131.22 71699.35 NULL NULL +#> 501 870533.4 34608.45 NULL NULL +#> 502 495103.7 88380.72 NULL NULL +#> 503 555535.97 5390.5 NULL NULL +#> 504 NULL NULL NULL 257281.260869792 +#> 505 1468557.12 2376.93 NULL NULL +#> 506 2309447.47 77084.72 NULL NULL +#> 507 729319.16 29940.18 NULL NULL +#> 508 215288.52 37892.52 NULL NULL +#> 509 133160.33 1172.18 NULL NULL +#> 510 NULL NULL NULL 197975.70744 +#> 511 1602674.39 2453.71 NULL 0 +#> 512 2341371.55 87762.19 NULL NULL +#> 513 232557.71 10937.14 NULL NULL +#> 514 0 0 NULL NULL +#> 515 0 0 NULL NULL +#> 516 NULL NULL NULL 132382.877395208 +#> 517 1417278.51 2371.86 NULL 0 +#> 518 1458816.35 46779.39 NULL NULL +#> 519 0 0 NULL NULL +#> 520 0 0 NULL NULL +#> 521 0 0 NULL NULL +#> 522 NULL NULL NULL 61200.8759954167 +#> 523 0 0 NULL 0 +#> 524 NULL NULL NULL NULL +#> 525 NULL NULL NULL NULL +#> 526 NULL NULL NULL NULL +#> 527 Sm3 Sm3 Sm3 Sm3 +#> 528 1475370435.94 15318578.35 +#> 529 1443979050 14400379 +``` + +``` r +hist_cum_oil <- +prod_hist %>% + mutate(Oil = as.character(Oil)) %>% + mutate(Oil = as.double(Oil)) %>% + mutate(Year = as.integer(as.character(Year))) %>% + mutate(Month = as.integer(as.character(Month))) %>% + rename(year = Year, month = Month, oil = Oil) %>% + na.omit() %>% + group_by(year, month) %>% + summarise(vol_oil = sum(oil)) %>% + mutate(date = ymd(paste(year, month, "01", sep = "-"))) %>% + arrange(date) %>% + ungroup() %>% + select(date, vol_oil) %>% + mutate(cum_oil = cumsum(vol_oil)) %>% + + print() +#> # A tibble: 104 x 3 +#> date vol_oil cum_oil +#> +#> 1 2008-02-01 49091. 49091. +#> 2 2008-03-01 83361. 132452. +#> 3 2008-04-01 74532. 206985. +#> 4 2008-05-01 125479. 332463. +#> 5 2008-06-01 143787. 476250. +#> 6 2008-07-01 166280. 642530. +#> 7 2008-08-01 165444. 807974. +#> 8 2008-09-01 192263. 1000237. +#> 9 2008-10-01 237174. 1237411. +#> 10 2008-11-01 250325. 1487736. +#> # ... with 94 more rows +``` + +``` r +df <- data.frame(date= seq.Date(as.Date("2008-01-01"), as.Date("2016-10-01"), + by = "month"), + cum_oil = 0) +df +#> date cum_oil +#> 1 2008-01-01 0 +#> 2 2008-02-01 0 +#> 3 2008-03-01 0 +#> 4 2008-04-01 0 +#> 5 2008-05-01 0 +#> 6 2008-06-01 0 +#> 7 2008-07-01 0 +#> 8 2008-08-01 0 +#> 9 2008-09-01 0 +#> 10 2008-10-01 0 +#> 11 2008-11-01 0 +#> 12 2008-12-01 0 +#> 13 2009-01-01 0 +#> 14 2009-02-01 0 +#> 15 2009-03-01 0 +#> 16 2009-04-01 0 +#> 17 2009-05-01 0 +#> 18 2009-06-01 0 +#> 19 2009-07-01 0 +#> 20 2009-08-01 0 +#> 21 2009-09-01 0 +#> 22 2009-10-01 0 +#> 23 2009-11-01 0 +#> 24 2009-12-01 0 +#> 25 2010-01-01 0 +#> 26 2010-02-01 0 +#> 27 2010-03-01 0 +#> 28 2010-04-01 0 +#> 29 2010-05-01 0 +#> 30 2010-06-01 0 +#> 31 2010-07-01 0 +#> 32 2010-08-01 0 +#> 33 2010-09-01 0 +#> 34 2010-10-01 0 +#> 35 2010-11-01 0 +#> 36 2010-12-01 0 +#> 37 2011-01-01 0 +#> 38 2011-02-01 0 +#> 39 2011-03-01 0 +#> 40 2011-04-01 0 +#> 41 2011-05-01 0 +#> 42 2011-06-01 0 +#> 43 2011-07-01 0 +#> 44 2011-08-01 0 +#> 45 2011-09-01 0 +#> 46 2011-10-01 0 +#> 47 2011-11-01 0 +#> 48 2011-12-01 0 +#> 49 2012-01-01 0 +#> 50 2012-02-01 0 +#> 51 2012-03-01 0 +#> 52 2012-04-01 0 +#> 53 2012-05-01 0 +#> 54 2012-06-01 0 +#> 55 2012-07-01 0 +#> 56 2012-08-01 0 +#> 57 2012-09-01 0 +#> 58 2012-10-01 0 +#> 59 2012-11-01 0 +#> 60 2012-12-01 0 +#> 61 2013-01-01 0 +#> 62 2013-02-01 0 +#> 63 2013-03-01 0 +#> 64 2013-04-01 0 +#> 65 2013-05-01 0 +#> 66 2013-06-01 0 +#> 67 2013-07-01 0 +#> 68 2013-08-01 0 +#> 69 2013-09-01 0 +#> 70 2013-10-01 0 +#> 71 2013-11-01 0 +#> 72 2013-12-01 0 +#> 73 2014-01-01 0 +#> 74 2014-02-01 0 +#> 75 2014-03-01 0 +#> 76 2014-04-01 0 +#> 77 2014-05-01 0 +#> 78 2014-06-01 0 +#> 79 2014-07-01 0 +#> 80 2014-08-01 0 +#> 81 2014-09-01 0 +#> 82 2014-10-01 0 +#> 83 2014-11-01 0 +#> 84 2014-12-01 0 +#> 85 2015-01-01 0 +#> 86 2015-02-01 0 +#> 87 2015-03-01 0 +#> 88 2015-04-01 0 +#> 89 2015-05-01 0 +#> 90 2015-06-01 0 +#> 91 2015-07-01 0 +#> 92 2015-08-01 0 +#> 93 2015-09-01 0 +#> 94 2015-10-01 0 +#> 95 2015-11-01 0 +#> 96 2015-12-01 0 +#> 97 2016-01-01 0 +#> 98 2016-02-01 0 +#> 99 2016-03-01 0 +#> 100 2016-04-01 0 +#> 101 2016-05-01 0 +#> 102 2016-06-01 0 +#> 103 2016-07-01 0 +#> 104 2016-08-01 0 +#> 105 2016-09-01 0 +#> 106 2016-10-01 0 +``` + +``` r +# historical production +# merge incomplete dataframe and complete with dates +hist_cum_oil <- +left_join(df, hist_cum_oil, by = "date") %>% + tidyr::replace_na(list(cum_oil.y = 0)) %>% + mutate(cum_oil = cum_oil.x + cum_oil.y) %>% + select(date, cum_oil) %>% + print +#> date cum_oil +#> 1 2008-01-01 0.00 +#> 2 2008-02-01 49091.06 +#> 3 2008-03-01 132452.32 +#> 4 2008-04-01 206984.77 +#> 5 2008-05-01 332463.33 +#> 6 2008-06-01 476250.18 +#> 7 2008-07-01 642529.87 +#> 8 2008-08-01 807973.53 +#> 9 2008-09-01 1000236.74 +#> 10 2008-10-01 1237411.03 +#> 11 2008-11-01 1487736.20 +#> 12 2008-12-01 1764375.15 +#> 13 2009-01-01 2033624.97 +#> 14 2009-02-01 2269410.96 +#> 15 2009-03-01 2453014.11 +#> 16 2009-04-01 2690913.85 +#> 17 2009-05-01 2948127.90 +#> 18 2009-06-01 3167211.64 +#> 19 2009-07-01 3338188.71 +#> 20 2009-08-01 3563096.48 +#> 21 2009-09-01 3743545.17 +#> 22 2009-10-01 3967192.14 +#> 23 2009-11-01 4201251.32 +#> 24 2009-12-01 4448767.19 +#> 25 2010-01-01 4680647.27 +#> 26 2010-02-01 4845766.25 +#> 27 2010-03-01 5014327.11 +#> 28 2010-04-01 5173616.53 +#> 29 2010-05-01 5338539.37 +#> 30 2010-06-01 5483466.56 +#> 31 2010-07-01 5617106.50 +#> 32 2010-08-01 5685637.59 +#> 33 2010-09-01 5792355.73 +#> 34 2010-10-01 5922541.62 +#> 35 2010-11-01 6029565.55 +#> 36 2010-12-01 6138669.74 +#> 37 2011-01-01 6244744.74 +#> 38 2011-02-01 6317968.54 +#> 39 2011-03-01 6412073.55 +#> 40 2011-04-01 6501707.51 +#> 41 2011-05-01 6590033.84 +#> 42 2011-06-01 6643254.41 +#> 43 2011-07-01 6675928.14 +#> 44 2011-08-01 6762038.57 +#> 45 2011-09-01 6843090.87 +#> 46 2011-10-01 6877545.60 +#> 47 2011-11-01 6934378.54 +#> 48 2011-12-01 6986635.14 +#> 49 2012-01-01 7032162.22 +#> 50 2012-02-01 7096322.14 +#> 51 2012-03-01 7157747.61 +#> 52 2012-04-01 7218345.75 +#> 53 2012-05-01 7275812.86 +#> 54 2012-06-01 7328365.79 +#> 55 2012-07-01 7382533.43 +#> 56 2012-08-01 7404221.51 +#> 57 2012-09-01 7406890.52 +#> 58 2012-10-01 7460447.39 +#> 59 2012-11-01 7514397.93 +#> 60 2012-12-01 7560841.47 +#> 61 2013-01-01 7608434.84 +#> 62 2013-02-01 7650117.75 +#> 63 2013-03-01 7675240.08 +#> 64 2013-04-01 7710466.84 +#> 65 2013-05-01 7754441.77 +#> 66 2013-06-01 7788639.60 +#> 67 2013-07-01 7827027.09 +#> 68 2013-08-01 7889337.24 +#> 69 2013-09-01 7940206.57 +#> 70 2013-10-01 8001067.19 +#> 71 2013-11-01 8062872.76 +#> 72 2013-12-01 8118854.00 +#> 73 2014-01-01 8180764.82 +#> 74 2014-02-01 8237720.92 +#> 75 2014-03-01 8299883.68 +#> 76 2014-04-01 8376082.43 +#> 77 2014-05-01 8459909.59 +#> 78 2014-06-01 8539447.73 +#> 79 2014-07-01 8614428.98 +#> 80 2014-08-01 8663804.56 +#> 81 2014-09-01 8726193.98 +#> 82 2014-10-01 8790708.56 +#> 83 2014-11-01 8843628.17 +#> 84 2014-12-01 8861961.49 +#> 85 2015-01-01 8943207.86 +#> 86 2015-02-01 9009480.36 +#> 87 2015-03-01 9091219.71 +#> 88 2015-04-01 9181443.33 +#> 89 2015-05-01 9268507.47 +#> 90 2015-06-01 9352355.10 +#> 91 2015-07-01 9426350.35 +#> 92 2015-08-01 9482646.77 +#> 93 2015-09-01 9545743.90 +#> 94 2015-10-01 9603424.80 +#> 95 2015-11-01 9663894.13 +#> 96 2015-12-01 9723710.55 +#> 97 2016-01-01 9775287.46 +#> 98 2016-02-01 9822655.28 +#> 99 2016-03-01 9865457.72 +#> 100 2016-04-01 9897767.76 +#> 101 2016-05-01 9936798.01 +#> 102 2016-06-01 9972457.35 +#> 103 2016-07-01 10003516.77 +#> 104 2016-08-01 10028471.43 +#> 105 2016-09-01 10037080.61 +#> 106 2016-10-01 0.00 +``` + +``` r +# cumulative oil from historical production +ggplot(hist_cum_oil, aes(x = date, y = cum_oil)) + + geom_line() + + geom_col(color = "dark green", fill = "dark green", alpha = 0.35) + + ggtitle("Cumulative Oil, sm3", subtitle = "Historical Production") +``` + + + +``` r +ggplot(hist_cum_oil, aes(x = date, y = cum_oil)) + + geom_line(color = "dark green") + + geom_line(data = step_totals, aes(x = date, y = oil_otw)) +``` + + + +``` r +# historical production +hist_cum_oil <- +hist_cum_oil %>% + mutate(source = "historical") %>% + select(date, cum_oil, source) %>% + mutate(cum_oil = ifelse(cum_oil == 0, lag(cum_oil, default=0), cum_oil)) %>% + print() +#> date cum_oil source +#> 1 2008-01-01 0.00 historical +#> 2 2008-02-01 49091.06 historical +#> 3 2008-03-01 132452.32 historical +#> 4 2008-04-01 206984.77 historical +#> 5 2008-05-01 332463.33 historical +#> 6 2008-06-01 476250.18 historical +#> 7 2008-07-01 642529.87 historical +#> 8 2008-08-01 807973.53 historical +#> 9 2008-09-01 1000236.74 historical +#> 10 2008-10-01 1237411.03 historical +#> 11 2008-11-01 1487736.20 historical +#> 12 2008-12-01 1764375.15 historical +#> 13 2009-01-01 2033624.97 historical +#> 14 2009-02-01 2269410.96 historical +#> 15 2009-03-01 2453014.11 historical +#> 16 2009-04-01 2690913.85 historical +#> 17 2009-05-01 2948127.90 historical +#> 18 2009-06-01 3167211.64 historical +#> 19 2009-07-01 3338188.71 historical +#> 20 2009-08-01 3563096.48 historical +#> 21 2009-09-01 3743545.17 historical +#> 22 2009-10-01 3967192.14 historical +#> 23 2009-11-01 4201251.32 historical +#> 24 2009-12-01 4448767.19 historical +#> 25 2010-01-01 4680647.27 historical +#> 26 2010-02-01 4845766.25 historical +#> 27 2010-03-01 5014327.11 historical +#> 28 2010-04-01 5173616.53 historical +#> 29 2010-05-01 5338539.37 historical +#> 30 2010-06-01 5483466.56 historical +#> 31 2010-07-01 5617106.50 historical +#> 32 2010-08-01 5685637.59 historical +#> 33 2010-09-01 5792355.73 historical +#> 34 2010-10-01 5922541.62 historical +#> 35 2010-11-01 6029565.55 historical +#> 36 2010-12-01 6138669.74 historical +#> 37 2011-01-01 6244744.74 historical +#> 38 2011-02-01 6317968.54 historical +#> 39 2011-03-01 6412073.55 historical +#> 40 2011-04-01 6501707.51 historical +#> 41 2011-05-01 6590033.84 historical +#> 42 2011-06-01 6643254.41 historical +#> 43 2011-07-01 6675928.14 historical +#> 44 2011-08-01 6762038.57 historical +#> 45 2011-09-01 6843090.87 historical +#> 46 2011-10-01 6877545.60 historical +#> 47 2011-11-01 6934378.54 historical +#> 48 2011-12-01 6986635.14 historical +#> 49 2012-01-01 7032162.22 historical +#> 50 2012-02-01 7096322.14 historical +#> 51 2012-03-01 7157747.61 historical +#> 52 2012-04-01 7218345.75 historical +#> 53 2012-05-01 7275812.86 historical +#> 54 2012-06-01 7328365.79 historical +#> 55 2012-07-01 7382533.43 historical +#> 56 2012-08-01 7404221.51 historical +#> 57 2012-09-01 7406890.52 historical +#> 58 2012-10-01 7460447.39 historical +#> 59 2012-11-01 7514397.93 historical +#> 60 2012-12-01 7560841.47 historical +#> 61 2013-01-01 7608434.84 historical +#> 62 2013-02-01 7650117.75 historical +#> 63 2013-03-01 7675240.08 historical +#> 64 2013-04-01 7710466.84 historical +#> 65 2013-05-01 7754441.77 historical +#> 66 2013-06-01 7788639.60 historical +#> 67 2013-07-01 7827027.09 historical +#> 68 2013-08-01 7889337.24 historical +#> 69 2013-09-01 7940206.57 historical +#> 70 2013-10-01 8001067.19 historical +#> 71 2013-11-01 8062872.76 historical +#> 72 2013-12-01 8118854.00 historical +#> 73 2014-01-01 8180764.82 historical +#> 74 2014-02-01 8237720.92 historical +#> 75 2014-03-01 8299883.68 historical +#> 76 2014-04-01 8376082.43 historical +#> 77 2014-05-01 8459909.59 historical +#> 78 2014-06-01 8539447.73 historical +#> 79 2014-07-01 8614428.98 historical +#> 80 2014-08-01 8663804.56 historical +#> 81 2014-09-01 8726193.98 historical +#> 82 2014-10-01 8790708.56 historical +#> 83 2014-11-01 8843628.17 historical +#> 84 2014-12-01 8861961.49 historical +#> 85 2015-01-01 8943207.86 historical +#> 86 2015-02-01 9009480.36 historical +#> 87 2015-03-01 9091219.71 historical +#> 88 2015-04-01 9181443.33 historical +#> 89 2015-05-01 9268507.47 historical +#> 90 2015-06-01 9352355.10 historical +#> 91 2015-07-01 9426350.35 historical +#> 92 2015-08-01 9482646.77 historical +#> 93 2015-09-01 9545743.90 historical +#> 94 2015-10-01 9603424.80 historical +#> 95 2015-11-01 9663894.13 historical +#> 96 2015-12-01 9723710.55 historical +#> 97 2016-01-01 9775287.46 historical +#> 98 2016-02-01 9822655.28 historical +#> 99 2016-03-01 9865457.72 historical +#> 100 2016-04-01 9897767.76 historical +#> 101 2016-05-01 9936798.01 historical +#> 102 2016-06-01 9972457.35 historical +#> 103 2016-07-01 10003516.77 historical +#> 104 2016-08-01 10028471.43 historical +#> 105 2016-09-01 10037080.61 historical +#> 106 2016-10-01 10037080.61 historical +``` + +``` r +# step field totals +sim_cum_oil <- +step_totals %>% + select(date, oil_otw) %>% + mutate(oil_this_period = oil_otw - lag(oil_otw, default = 0)) %>% + mutate(year = year(date), month = month(date)) %>% + group_by(year, month) %>% + summarize(vol_oil = sum(oil_this_period)) %>% + ungroup() %>% + mutate(date = ymd(paste(year, month, "01", sep = "-"))) %>% + mutate(source = "simulator") %>% + mutate(cum_oil = cumsum(vol_oil)) %>% + select(date, cum_oil, source) %>% + print() +#> # A tibble: 97 x 3 +#> date cum_oil source +#> +#> 1 2008-01-01 0 simulator +#> 2 2008-02-01 30840 simulator +#> 3 2008-03-01 120869 simulator +#> 4 2008-04-01 194702 simulator +#> 5 2008-05-01 318898 simulator +#> 6 2008-06-01 456145 simulator +#> 7 2008-08-01 781866 simulator +#> 8 2008-09-01 944881 simulator +#> 9 2008-10-01 1166111 simulator +#> 10 2008-11-01 1413884 simulator +#> # ... with 87 more rows +``` + +``` r +# simulator production +# merge incomplete dataframe and complete with dates +sim_cum_oil <- +left_join(df, sim_cum_oil, by = "date") %>% + tidyr::replace_na(list(cum_oil.y = 0)) %>% + mutate(cum_oil = cum_oil.x + cum_oil.y) %>% + select(date, cum_oil) %>% + mutate(source = "simulator") %>% + mutate(cum_oil = ifelse(cum_oil == 0, lag(cum_oil, default = 0), cum_oil)) %>% + print +#> date cum_oil source +#> 1 2008-01-01 0 simulator +#> 2 2008-02-01 30840 simulator +#> 3 2008-03-01 120869 simulator +#> 4 2008-04-01 194702 simulator +#> 5 2008-05-01 318898 simulator +#> 6 2008-06-01 456145 simulator +#> 7 2008-07-01 456145 simulator +#> 8 2008-08-01 781866 simulator +#> 9 2008-09-01 944881 simulator +#> 10 2008-10-01 1166111 simulator +#> 11 2008-11-01 1413884 simulator +#> 12 2008-12-01 1671211 simulator +#> 13 2009-01-01 1932770 simulator +#> 14 2009-02-01 2181366 simulator +#> 15 2009-03-01 2401155 simulator +#> 16 2009-04-01 2590591 simulator +#> 17 2009-05-01 2833938 simulator +#> 18 2009-06-01 3077013 simulator +#> 19 2009-07-01 3077013 simulator +#> 20 2009-08-01 3475598 simulator +#> 21 2009-09-01 3675761 simulator +#> 22 2009-10-01 3863739 simulator +#> 23 2009-11-01 4075252 simulator +#> 24 2009-12-01 4360717 simulator +#> 25 2010-01-01 4554231 simulator +#> 26 2010-02-01 4662959 simulator +#> 27 2010-03-01 4850029 simulator +#> 28 2010-04-01 4991327 simulator +#> 29 2010-05-01 5132101 simulator +#> 30 2010-06-01 5260132 simulator +#> 31 2010-07-01 5260132 simulator +#> 32 2010-08-01 5451392 simulator +#> 33 2010-09-01 5543219 simulator +#> 34 2010-10-01 5662192 simulator +#> 35 2010-11-01 5767781 simulator +#> 36 2010-12-01 5871586 simulator +#> 37 2011-01-01 5968558 simulator +#> 38 2011-02-01 6046241 simulator +#> 39 2011-03-01 6134013 simulator +#> 40 2011-04-01 6220592 simulator +#> 41 2011-05-01 6303108 simulator +#> 42 2011-06-01 6372259 simulator +#> 43 2011-07-01 6372259 simulator +#> 44 2011-08-01 6461316 simulator +#> 45 2011-09-01 6541614 simulator +#> 46 2011-10-01 6596467 simulator +#> 47 2011-11-01 6637034 simulator +#> 48 2011-12-01 6696631 simulator +#> 49 2012-01-01 6738867 simulator +#> 50 2012-02-01 6798666 simulator +#> 51 2012-03-01 6852494 simulator +#> 52 2012-04-01 6910290 simulator +#> 53 2012-05-01 6966182 simulator +#> 54 2012-06-01 7019793 simulator +#> 55 2012-07-01 7019793 simulator +#> 56 2012-08-01 7100616 simulator +#> 57 2012-09-01 7100616 simulator +#> 58 2012-10-01 7149181 simulator +#> 59 2012-11-01 7210162 simulator +#> 60 2012-12-01 7260828 simulator +#> 61 2013-01-01 7312608 simulator +#> 62 2013-02-01 7360839 simulator +#> 63 2013-03-01 7390225 simulator +#> 64 2013-04-01 7429306 simulator +#> 65 2013-05-01 7478471 simulator +#> 66 2013-06-01 7522345 simulator +#> 67 2013-07-01 7522345 simulator +#> 68 2013-08-01 7614853 simulator +#> 69 2013-09-01 7666864 simulator +#> 70 2013-10-01 7749841 simulator +#> 71 2013-11-01 7815142 simulator +#> 72 2013-12-01 7873854 simulator +#> 73 2014-01-01 7941447 simulator +#> 74 2014-02-01 8005524 simulator +#> 75 2014-03-01 8071539 simulator +#> 76 2014-04-01 8150494 simulator +#> 77 2014-05-01 8234238 simulator +#> 78 2014-06-01 8319008 simulator +#> 79 2014-07-01 8319008 simulator +#> 80 2014-08-01 8456701 simulator +#> 81 2014-09-01 8525968 simulator +#> 82 2014-10-01 8594801 simulator +#> 83 2014-11-01 8664585 simulator +#> 84 2014-12-01 8683421 simulator +#> 85 2015-01-01 8758961 simulator +#> 86 2015-02-01 8846665 simulator +#> 87 2015-03-01 8935673 simulator +#> 88 2015-04-01 9032565 simulator +#> 89 2015-05-01 9122484 simulator +#> 90 2015-06-01 9205121 simulator +#> 91 2015-07-01 9205121 simulator +#> 92 2015-08-01 9356807 simulator +#> 93 2015-09-01 9419063 simulator +#> 94 2015-10-01 9499217 simulator +#> 95 2015-11-01 9564129 simulator +#> 96 2015-12-01 9623615 simulator +#> 97 2016-01-01 9680116 simulator +#> 98 2016-02-01 9735711 simulator +#> 99 2016-03-01 9785994 simulator +#> 100 2016-04-01 9825409 simulator +#> 101 2016-05-01 9866074 simulator +#> 102 2016-06-01 9903522 simulator +#> 103 2016-07-01 9903522 simulator +#> 104 2016-08-01 9960384 simulator +#> 105 2016-09-01 9980819 simulator +#> 106 2016-10-01 9980819 simulator +``` + +``` r +hist_cum_oil_break <- +hist_cum_oil %>% + mutate(cum_oil_hist = cum_oil) %>% + select(date, cum_oil_hist) %>% + print() +#> date cum_oil_hist +#> 1 2008-01-01 0.00 +#> 2 2008-02-01 49091.06 +#> 3 2008-03-01 132452.32 +#> 4 2008-04-01 206984.77 +#> 5 2008-05-01 332463.33 +#> 6 2008-06-01 476250.18 +#> 7 2008-07-01 642529.87 +#> 8 2008-08-01 807973.53 +#> 9 2008-09-01 1000236.74 +#> 10 2008-10-01 1237411.03 +#> 11 2008-11-01 1487736.20 +#> 12 2008-12-01 1764375.15 +#> 13 2009-01-01 2033624.97 +#> 14 2009-02-01 2269410.96 +#> 15 2009-03-01 2453014.11 +#> 16 2009-04-01 2690913.85 +#> 17 2009-05-01 2948127.90 +#> 18 2009-06-01 3167211.64 +#> 19 2009-07-01 3338188.71 +#> 20 2009-08-01 3563096.48 +#> 21 2009-09-01 3743545.17 +#> 22 2009-10-01 3967192.14 +#> 23 2009-11-01 4201251.32 +#> 24 2009-12-01 4448767.19 +#> 25 2010-01-01 4680647.27 +#> 26 2010-02-01 4845766.25 +#> 27 2010-03-01 5014327.11 +#> 28 2010-04-01 5173616.53 +#> 29 2010-05-01 5338539.37 +#> 30 2010-06-01 5483466.56 +#> 31 2010-07-01 5617106.50 +#> 32 2010-08-01 5685637.59 +#> 33 2010-09-01 5792355.73 +#> 34 2010-10-01 5922541.62 +#> 35 2010-11-01 6029565.55 +#> 36 2010-12-01 6138669.74 +#> 37 2011-01-01 6244744.74 +#> 38 2011-02-01 6317968.54 +#> 39 2011-03-01 6412073.55 +#> 40 2011-04-01 6501707.51 +#> 41 2011-05-01 6590033.84 +#> 42 2011-06-01 6643254.41 +#> 43 2011-07-01 6675928.14 +#> 44 2011-08-01 6762038.57 +#> 45 2011-09-01 6843090.87 +#> 46 2011-10-01 6877545.60 +#> 47 2011-11-01 6934378.54 +#> 48 2011-12-01 6986635.14 +#> 49 2012-01-01 7032162.22 +#> 50 2012-02-01 7096322.14 +#> 51 2012-03-01 7157747.61 +#> 52 2012-04-01 7218345.75 +#> 53 2012-05-01 7275812.86 +#> 54 2012-06-01 7328365.79 +#> 55 2012-07-01 7382533.43 +#> 56 2012-08-01 7404221.51 +#> 57 2012-09-01 7406890.52 +#> 58 2012-10-01 7460447.39 +#> 59 2012-11-01 7514397.93 +#> 60 2012-12-01 7560841.47 +#> 61 2013-01-01 7608434.84 +#> 62 2013-02-01 7650117.75 +#> 63 2013-03-01 7675240.08 +#> 64 2013-04-01 7710466.84 +#> 65 2013-05-01 7754441.77 +#> 66 2013-06-01 7788639.60 +#> 67 2013-07-01 7827027.09 +#> 68 2013-08-01 7889337.24 +#> 69 2013-09-01 7940206.57 +#> 70 2013-10-01 8001067.19 +#> 71 2013-11-01 8062872.76 +#> 72 2013-12-01 8118854.00 +#> 73 2014-01-01 8180764.82 +#> 74 2014-02-01 8237720.92 +#> 75 2014-03-01 8299883.68 +#> 76 2014-04-01 8376082.43 +#> 77 2014-05-01 8459909.59 +#> 78 2014-06-01 8539447.73 +#> 79 2014-07-01 8614428.98 +#> 80 2014-08-01 8663804.56 +#> 81 2014-09-01 8726193.98 +#> 82 2014-10-01 8790708.56 +#> 83 2014-11-01 8843628.17 +#> 84 2014-12-01 8861961.49 +#> 85 2015-01-01 8943207.86 +#> 86 2015-02-01 9009480.36 +#> 87 2015-03-01 9091219.71 +#> 88 2015-04-01 9181443.33 +#> 89 2015-05-01 9268507.47 +#> 90 2015-06-01 9352355.10 +#> 91 2015-07-01 9426350.35 +#> 92 2015-08-01 9482646.77 +#> 93 2015-09-01 9545743.90 +#> 94 2015-10-01 9603424.80 +#> 95 2015-11-01 9663894.13 +#> 96 2015-12-01 9723710.55 +#> 97 2016-01-01 9775287.46 +#> 98 2016-02-01 9822655.28 +#> 99 2016-03-01 9865457.72 +#> 100 2016-04-01 9897767.76 +#> 101 2016-05-01 9936798.01 +#> 102 2016-06-01 9972457.35 +#> 103 2016-07-01 10003516.77 +#> 104 2016-08-01 10028471.43 +#> 105 2016-09-01 10037080.61 +#> 106 2016-10-01 10037080.61 +# cum_oil_bind <- cbind(hist_cum_oil, sim_cum_oil) +# cum_oil_bind + +sim_cum_oil_break <- +sim_cum_oil %>% + mutate(cum_oil_sim = cum_oil) %>% + select(date, cum_oil_sim) %>% + print() +#> date cum_oil_sim +#> 1 2008-01-01 0 +#> 2 2008-02-01 30840 +#> 3 2008-03-01 120869 +#> 4 2008-04-01 194702 +#> 5 2008-05-01 318898 +#> 6 2008-06-01 456145 +#> 7 2008-07-01 456145 +#> 8 2008-08-01 781866 +#> 9 2008-09-01 944881 +#> 10 2008-10-01 1166111 +#> 11 2008-11-01 1413884 +#> 12 2008-12-01 1671211 +#> 13 2009-01-01 1932770 +#> 14 2009-02-01 2181366 +#> 15 2009-03-01 2401155 +#> 16 2009-04-01 2590591 +#> 17 2009-05-01 2833938 +#> 18 2009-06-01 3077013 +#> 19 2009-07-01 3077013 +#> 20 2009-08-01 3475598 +#> 21 2009-09-01 3675761 +#> 22 2009-10-01 3863739 +#> 23 2009-11-01 4075252 +#> 24 2009-12-01 4360717 +#> 25 2010-01-01 4554231 +#> 26 2010-02-01 4662959 +#> 27 2010-03-01 4850029 +#> 28 2010-04-01 4991327 +#> 29 2010-05-01 5132101 +#> 30 2010-06-01 5260132 +#> 31 2010-07-01 5260132 +#> 32 2010-08-01 5451392 +#> 33 2010-09-01 5543219 +#> 34 2010-10-01 5662192 +#> 35 2010-11-01 5767781 +#> 36 2010-12-01 5871586 +#> 37 2011-01-01 5968558 +#> 38 2011-02-01 6046241 +#> 39 2011-03-01 6134013 +#> 40 2011-04-01 6220592 +#> 41 2011-05-01 6303108 +#> 42 2011-06-01 6372259 +#> 43 2011-07-01 6372259 +#> 44 2011-08-01 6461316 +#> 45 2011-09-01 6541614 +#> 46 2011-10-01 6596467 +#> 47 2011-11-01 6637034 +#> 48 2011-12-01 6696631 +#> 49 2012-01-01 6738867 +#> 50 2012-02-01 6798666 +#> 51 2012-03-01 6852494 +#> 52 2012-04-01 6910290 +#> 53 2012-05-01 6966182 +#> 54 2012-06-01 7019793 +#> 55 2012-07-01 7019793 +#> 56 2012-08-01 7100616 +#> 57 2012-09-01 7100616 +#> 58 2012-10-01 7149181 +#> 59 2012-11-01 7210162 +#> 60 2012-12-01 7260828 +#> 61 2013-01-01 7312608 +#> 62 2013-02-01 7360839 +#> 63 2013-03-01 7390225 +#> 64 2013-04-01 7429306 +#> 65 2013-05-01 7478471 +#> 66 2013-06-01 7522345 +#> 67 2013-07-01 7522345 +#> 68 2013-08-01 7614853 +#> 69 2013-09-01 7666864 +#> 70 2013-10-01 7749841 +#> 71 2013-11-01 7815142 +#> 72 2013-12-01 7873854 +#> 73 2014-01-01 7941447 +#> 74 2014-02-01 8005524 +#> 75 2014-03-01 8071539 +#> 76 2014-04-01 8150494 +#> 77 2014-05-01 8234238 +#> 78 2014-06-01 8319008 +#> 79 2014-07-01 8319008 +#> 80 2014-08-01 8456701 +#> 81 2014-09-01 8525968 +#> 82 2014-10-01 8594801 +#> 83 2014-11-01 8664585 +#> 84 2014-12-01 8683421 +#> 85 2015-01-01 8758961 +#> 86 2015-02-01 8846665 +#> 87 2015-03-01 8935673 +#> 88 2015-04-01 9032565 +#> 89 2015-05-01 9122484 +#> 90 2015-06-01 9205121 +#> 91 2015-07-01 9205121 +#> 92 2015-08-01 9356807 +#> 93 2015-09-01 9419063 +#> 94 2015-10-01 9499217 +#> 95 2015-11-01 9564129 +#> 96 2015-12-01 9623615 +#> 97 2016-01-01 9680116 +#> 98 2016-02-01 9735711 +#> 99 2016-03-01 9785994 +#> 100 2016-04-01 9825409 +#> 101 2016-05-01 9866074 +#> 102 2016-06-01 9903522 +#> 103 2016-07-01 9903522 +#> 104 2016-08-01 9960384 +#> 105 2016-09-01 9980819 +#> 106 2016-10-01 9980819 + +cum_oil_bind <- full_join(hist_cum_oil_break, sim_cum_oil_break, by = "date") +cum_oil_bind +#> date cum_oil_hist cum_oil_sim +#> 1 2008-01-01 0.00 0 +#> 2 2008-02-01 49091.06 30840 +#> 3 2008-03-01 132452.32 120869 +#> 4 2008-04-01 206984.77 194702 +#> 5 2008-05-01 332463.33 318898 +#> 6 2008-06-01 476250.18 456145 +#> 7 2008-07-01 642529.87 456145 +#> 8 2008-08-01 807973.53 781866 +#> 9 2008-09-01 1000236.74 944881 +#> 10 2008-10-01 1237411.03 1166111 +#> 11 2008-11-01 1487736.20 1413884 +#> 12 2008-12-01 1764375.15 1671211 +#> 13 2009-01-01 2033624.97 1932770 +#> 14 2009-02-01 2269410.96 2181366 +#> 15 2009-03-01 2453014.11 2401155 +#> 16 2009-04-01 2690913.85 2590591 +#> 17 2009-05-01 2948127.90 2833938 +#> 18 2009-06-01 3167211.64 3077013 +#> 19 2009-07-01 3338188.71 3077013 +#> 20 2009-08-01 3563096.48 3475598 +#> 21 2009-09-01 3743545.17 3675761 +#> 22 2009-10-01 3967192.14 3863739 +#> 23 2009-11-01 4201251.32 4075252 +#> 24 2009-12-01 4448767.19 4360717 +#> 25 2010-01-01 4680647.27 4554231 +#> 26 2010-02-01 4845766.25 4662959 +#> 27 2010-03-01 5014327.11 4850029 +#> 28 2010-04-01 5173616.53 4991327 +#> 29 2010-05-01 5338539.37 5132101 +#> 30 2010-06-01 5483466.56 5260132 +#> 31 2010-07-01 5617106.50 5260132 +#> 32 2010-08-01 5685637.59 5451392 +#> 33 2010-09-01 5792355.73 5543219 +#> 34 2010-10-01 5922541.62 5662192 +#> 35 2010-11-01 6029565.55 5767781 +#> 36 2010-12-01 6138669.74 5871586 +#> 37 2011-01-01 6244744.74 5968558 +#> 38 2011-02-01 6317968.54 6046241 +#> 39 2011-03-01 6412073.55 6134013 +#> 40 2011-04-01 6501707.51 6220592 +#> 41 2011-05-01 6590033.84 6303108 +#> 42 2011-06-01 6643254.41 6372259 +#> 43 2011-07-01 6675928.14 6372259 +#> 44 2011-08-01 6762038.57 6461316 +#> 45 2011-09-01 6843090.87 6541614 +#> 46 2011-10-01 6877545.60 6596467 +#> 47 2011-11-01 6934378.54 6637034 +#> 48 2011-12-01 6986635.14 6696631 +#> 49 2012-01-01 7032162.22 6738867 +#> 50 2012-02-01 7096322.14 6798666 +#> 51 2012-03-01 7157747.61 6852494 +#> 52 2012-04-01 7218345.75 6910290 +#> 53 2012-05-01 7275812.86 6966182 +#> 54 2012-06-01 7328365.79 7019793 +#> 55 2012-07-01 7382533.43 7019793 +#> 56 2012-08-01 7404221.51 7100616 +#> 57 2012-09-01 7406890.52 7100616 +#> 58 2012-10-01 7460447.39 7149181 +#> 59 2012-11-01 7514397.93 7210162 +#> 60 2012-12-01 7560841.47 7260828 +#> 61 2013-01-01 7608434.84 7312608 +#> 62 2013-02-01 7650117.75 7360839 +#> 63 2013-03-01 7675240.08 7390225 +#> 64 2013-04-01 7710466.84 7429306 +#> 65 2013-05-01 7754441.77 7478471 +#> 66 2013-06-01 7788639.60 7522345 +#> 67 2013-07-01 7827027.09 7522345 +#> 68 2013-08-01 7889337.24 7614853 +#> 69 2013-09-01 7940206.57 7666864 +#> 70 2013-10-01 8001067.19 7749841 +#> 71 2013-11-01 8062872.76 7815142 +#> 72 2013-12-01 8118854.00 7873854 +#> 73 2014-01-01 8180764.82 7941447 +#> 74 2014-02-01 8237720.92 8005524 +#> 75 2014-03-01 8299883.68 8071539 +#> 76 2014-04-01 8376082.43 8150494 +#> 77 2014-05-01 8459909.59 8234238 +#> 78 2014-06-01 8539447.73 8319008 +#> 79 2014-07-01 8614428.98 8319008 +#> 80 2014-08-01 8663804.56 8456701 +#> 81 2014-09-01 8726193.98 8525968 +#> 82 2014-10-01 8790708.56 8594801 +#> 83 2014-11-01 8843628.17 8664585 +#> 84 2014-12-01 8861961.49 8683421 +#> 85 2015-01-01 8943207.86 8758961 +#> 86 2015-02-01 9009480.36 8846665 +#> 87 2015-03-01 9091219.71 8935673 +#> 88 2015-04-01 9181443.33 9032565 +#> 89 2015-05-01 9268507.47 9122484 +#> 90 2015-06-01 9352355.10 9205121 +#> 91 2015-07-01 9426350.35 9205121 +#> 92 2015-08-01 9482646.77 9356807 +#> 93 2015-09-01 9545743.90 9419063 +#> 94 2015-10-01 9603424.80 9499217 +#> 95 2015-11-01 9663894.13 9564129 +#> 96 2015-12-01 9723710.55 9623615 +#> 97 2016-01-01 9775287.46 9680116 +#> 98 2016-02-01 9822655.28 9735711 +#> 99 2016-03-01 9865457.72 9785994 +#> 100 2016-04-01 9897767.76 9825409 +#> 101 2016-05-01 9936798.01 9866074 +#> 102 2016-06-01 9972457.35 9903522 +#> 103 2016-07-01 10003516.77 9903522 +#> 104 2016-08-01 10028471.43 9960384 +#> 105 2016-09-01 10037080.61 9980819 +#> 106 2016-10-01 10037080.61 9980819 +``` + +## How close cumulative productions are + +``` r +# Volve reservoir model dataset +# plot historical vs simulator cum_oil +cols <- c("simulator"="red", "historical"="dark green") +ggplot(cum_oil_bind) + + geom_ribbon(aes(x = date, ymin= cum_oil_sim, ymax= cum_oil_hist), + fill = "orange", alpha = 0.35) + + geom_line(aes(x = date, y = cum_oil_sim, color = "simulator")) + + geom_line(aes(x = date, y = cum_oil_hist, color = "historical")) + + labs(title = "Volve reservoir model. Comparison Cumulative Oil", + subtitle = "Historical vs Simulator", + y = "cumulative oil, sm3") + + scale_color_manual(name = "Curve", values = cols) +``` + + diff --git a/README_files/figure-gfm/pressure-1.png b/README_files/figure-gfm/pressure-1.png new file mode 100644 index 0000000..c092055 Binary files /dev/null and b/README_files/figure-gfm/pressure-1.png differ diff --git a/README_files/figure-gfm/unnamed-chunk-10-1.png b/README_files/figure-gfm/unnamed-chunk-10-1.png new file mode 100644 index 0000000..d77cc1f Binary files /dev/null and b/README_files/figure-gfm/unnamed-chunk-10-1.png differ diff --git a/README_files/figure-gfm/unnamed-chunk-14-1.png b/README_files/figure-gfm/unnamed-chunk-14-1.png new file mode 100644 index 0000000..392f15a Binary files /dev/null and b/README_files/figure-gfm/unnamed-chunk-14-1.png differ diff --git a/README_files/figure-gfm/unnamed-chunk-19-1.png b/README_files/figure-gfm/unnamed-chunk-19-1.png new file mode 100644 index 0000000..2b6f0fa Binary files /dev/null and b/README_files/figure-gfm/unnamed-chunk-19-1.png differ diff --git a/README_files/figure-gfm/unnamed-chunk-20-1.png b/README_files/figure-gfm/unnamed-chunk-20-1.png new file mode 100644 index 0000000..b9f505b Binary files /dev/null and b/README_files/figure-gfm/unnamed-chunk-20-1.png differ diff --git a/README_files/figure-gfm/unnamed-chunk-25-1.png b/README_files/figure-gfm/unnamed-chunk-25-1.png new file mode 100644 index 0000000..543b066 Binary files /dev/null and b/README_files/figure-gfm/unnamed-chunk-25-1.png differ diff --git a/img/hist_vs_sim.png b/img/hist_vs_sim.png new file mode 100644 index 0000000..363fd20 Binary files /dev/null and b/img/hist_vs_sim.png differ diff --git a/img/step_0001.png b/img/step_0001.png new file mode 100644 index 0000000..f3db7e5 Binary files /dev/null and b/img/step_0001.png differ diff --git a/img/step_3197.png b/img/step_3197.png new file mode 100644 index 0000000..b3893f3 Binary files /dev/null and b/img/step_3197.png differ diff --git a/inst/rawdata/VOLVE_2016.zip b/inst/rawdata/VOLVE_2016.zip new file mode 100644 index 0000000..50a6c27 Binary files /dev/null and b/inst/rawdata/VOLVE_2016.zip differ diff --git a/inst/rawdata/VOLVE_2016/.VOLVE_2016.PRT.swp b/inst/rawdata/VOLVE_2016/.VOLVE_2016.PRT.swp new file mode 100644 index 0000000..70f1896 Binary files /dev/null and b/inst/rawdata/VOLVE_2016/.VOLVE_2016.PRT.swp differ diff --git a/inst/rawdata/Volve production data.xlsx b/inst/rawdata/Volve production data.xlsx new file mode 100644 index 0000000..9becc33 Binary files /dev/null and b/inst/rawdata/Volve production data.xlsx differ diff --git a/notebooks/extract_gor_from_step.Rmd b/notebooks/extract_gor_from_step.Rmd new file mode 100644 index 0000000..f83409c --- /dev/null +++ b/notebooks/extract_gor_from_step.Rmd @@ -0,0 +1,76 @@ +--- +title: "R Notebook" +output: html_notebook +--- + +## Extract the GOR value +### Explanation + +* `.*GOR=.*?`: any characters up to "GOR=" +* `(\\d+.\\d+)`: capture group of digits, dot. and digits +* `.*`: any characters to the end + +```{r} +# iterate through the list of pages: dates +gor_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # put all pages text in a list + gor_row_txt <- grep(" GOR", page) + gor_value <- sub(".*GOR=.*?(\\d+.\\d+).*", "\\1", page[gor_row_txt]) + + # dataframe + data.frame(gor = gor_value, stringsAsFactors = FALSE) +}) + +gor_df <- do.call("rbind", gor_dfs) +gor_df +``` +## Water Gas Ratio (WGR) +### + +```{r} +# iterate through the list of pages: WATERCUT +wgr_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # put all pages text in a list + row_txt <- grep(" WGR=", page) + wgr_value <- sub(".*WGR=.*?(\\d+.\\d+).*", "\\1", page[row_txt]) + + # dataframe + data.frame(wgr = wgr_value, stringsAsFactors = FALSE) +}) + +wgr_df <- do.call("rbind", wgr_dfs) +wgr_df +``` + + +```{r rows.print=50} +# iterate through the list of pages +step_info_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) { + page <- steps_info_txt_pages[[x]] # put all pages text in a list + row_txt <- grep(" STEP", page) + date_value <- sub(".*?(\\d{1,2}-[A-Z]{3}-\\d{4}).", "\\1", page[row_txt]) + # step number + step_value <- sub(".*STEP.*?(\\d+)+.*", "\\1", page[row_txt]) # extract the days + # get step in days + row_txt <- grep(" TIME", page) + days_value <- sub(".*TIME=.*?(\\d+.\\d.)+.*", "\\1", page[row_txt]) # extract the days + # Get the average pressure PAV + row_txt <- grep(" PAV", page) + pav_value <- sub(".*PAV=.*?(\\d+.\\d+).*", "\\1", page[row_txt]) + # get the GOR + row_txt <- grep(" GOR", page) + gor_value <- sub(".*GOR=.*?(\\d+.\\d+).*", "\\1", page[row_txt]) + # get the WGR + row_txt <- grep(" WGR=", page) + wgr_value <- sub(".*WGR=.*?(\\d+.\\d+).*", "\\1", page[row_txt]) + + + # dataframe + data.frame(step=step_value, date = date_value, days = days_value, + pav_bar = pav_value, gor_m3m3 = gor_value, wgr_m3m3 = wgr_value, + stringsAsFactors = FALSE) +}) + +step_info <- do.call("rbind", step_info_dfs) +step_info +``` diff --git a/notebooks/extract_gor_from_step.nb.html b/notebooks/extract_gor_from_step.nb.html new file mode 100644 index 0000000..5441365 --- /dev/null +++ b/notebooks/extract_gor_from_step.nb.html @@ -0,0 +1,1894 @@ + + + + + + + + + + + + + +R Notebook + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + + + + + + + +
+

Extract the GOR value

+
+

Explanation

+
    +
  • .*GOR=.*?: any characters up to “GOR=”
    • +
  • (\\d+.\\d+): capture group of digits, dot. and digits
    • +
  • .*: any characters to the end
    • +
+ + + +
# iterate through the list of pages: dates
+gor_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) {
+    page <- steps_info_txt_pages[[x]]  # put all pages text in a list
+    gor_row_txt <- grep(" GOR", page)
+    gor_value <- sub(".*GOR=.*?(\\d+.\\d+).*", "\\1", page[gor_row_txt])
+    
+    # dataframe
+    data.frame(gor = gor_value, stringsAsFactors = FALSE) 
+})
+
+gor_df <- do.call("rbind", gor_dfs)
+gor_df
+ + + +
+
+
+

Water Gas Ratio (WGR)

+
+

+ + + +
# iterate through the list of pages: WATERCUT
+wgr_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) {
+    page <- steps_info_txt_pages[[x]]  # put all pages text in a list
+    row_txt <- grep(" WGR=", page)
+    wgr_value <- sub(".*WGR=.*?(\\d+.\\d+).*", "\\1", page[row_txt])
+    
+    # dataframe
+    data.frame(wgr = wgr_value, stringsAsFactors = FALSE) 
+})
+
+wgr_df <- do.call("rbind", wgr_dfs)
+wgr_df
+ + + + + + +
# iterate through the list of pages
+step_info_dfs <- lapply(seq_along(steps_info_txt_pages), function(x) {
+    page <- steps_info_txt_pages[[x]]             # put all pages text in a list
+    row_txt <- grep(" STEP", page)
+    date_value <- sub(".*?(\\d{1,2}-[A-Z]{3}-\\d{4}).", "\\1", page[row_txt])
+    # step number
+    step_value <- sub(".*STEP.*?(\\d+)+.*", "\\1", page[row_txt]) # extract the days
+    # get step in days
+    row_txt <- grep(" TIME", page)
+    days_value <- sub(".*TIME=.*?(\\d+.\\d.)+.*", "\\1", page[row_txt]) # extract the days
+    # Get the average pressure PAV
+    row_txt <- grep(" PAV", page)
+    pav_value <- sub(".*PAV=.*?(\\d+.\\d+).*", "\\1", page[row_txt])
+    # get the GOR
+    row_txt <- grep(" GOR", page)
+    gor_value <- sub(".*GOR=.*?(\\d+.\\d+).*", "\\1", page[row_txt])
+    # get the WGR
+    row_txt <- grep(" WGR=", page)
+    wgr_value <- sub(".*WGR=.*?(\\d+.\\d+).*", "\\1", page[row_txt])
+
+    
+    # dataframe
+    data.frame(step=step_value, date = date_value, days = days_value, 
+               pav_bar = pav_value, gor_m3m3 = gor_value, wgr_m3m3 = wgr_value,
+               stringsAsFactors = FALSE) 
+})
+
+step_info <- do.call("rbind", step_info_dfs)
+step_info
+ + +
+
+ +
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+ + + +
+ + + + + + + + diff --git a/volve-reservoir-model-evolution.Rproj b/volve-reservoir-model-evolution.Rproj new file mode 100644 index 0000000..1ea7d7f --- /dev/null +++ b/volve-reservoir-model-evolution.Rproj @@ -0,0 +1,15 @@ +Version: 1.0 + +RestoreWorkspace: Default +SaveWorkspace: Default +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 4 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: pdfLaTeX + +AutoAppendNewline: Yes