GEOS Simulation Framework

3D viewer and post processing of reservoir models

Integration of reservoir simulation, rock physics, seismic modeling, & geomechanics for CCS monitoring. Originally my BSc thesis and will be presented in EAGE 2020 Amsterdam.

Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.

LaMEM (Lithosphere and Mantle Evolution Model) - a 3D parallel code to simulate geodynamic and geomechanical processes

Finite Element Code for Elasto-plastic Analysis of Slope Stability

Expandable And Scalable Infrastructure for Finite Element Methods, EASIFEM, is [Modern Fortran](https://fortran-lang.org) framework for solving partial differential equations (PDEs) using finite element methods. EASIFEM "eases" the efforts to develop scientific programs in Fortran.

This is a program with GUI developed with python, to read well logs and model geomechanical properties.

Expandable And Scalable Infrastructure for Finite Element Methods, EASIFEM, is [Modern Fortran](https://fortran-lang.org) framework for solving partial differential equations (PDEs) using finite element methods. EASIFEM "eases" the efforts to develop scientific programs in Fortran.

Soil particles contact simulation

Implementation of the Strain Path method and Shallow Strain Path method to compute the displacement and strain fields due to the penetration of a tube

Elastic-Plastic Deformation on a 2-D Plane

Predicted Pore Pressure using a Multi-layer perceptron (MLP) artificial neural network.

Fast Automatic Stress Tensor Calibration for 3D geomechanical-numerical modelling

Fast Automatic Stress Tensor Calibration for 3D geomechanical-numerical modelling (Python version)

This repository contains codes for a preprint titled "A Bootstrap Strategy to Train, Validate and Test Reduced Order Models of Coupled Geomechanical Processes" submitted to Computers and Geosciences

Web application for selecting mining methods based on geological parameters, using methodologies like Nicholas 1981, 1992, UBC, and Sh&B. Supports quick technical and economic evaluations with geomechanical classification tools. Built with JavaScript, HTML5, and CSS3, without frameworks.

Using Neural Networks to simulate granular material behavior in multi-scale geomechanics, replacing the traditional H-model.

Geological Data Science