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3rdparty-stokes_leopart

A mirror of LEoPart from https://bitbucket.org/jakob_maljaars/leopart/src/master/

a_little_book_of_python_for_multivariate_analysis

A Little Book of Python for Multivariate Analysis

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

awesomethermodynamics

A curated list of awesome resources on Thermodynamics

bnpy

Bayesian nonparametric machine learning for Python

cfd

Computional Fluid Dynamics (CFD) for FreeCAD based on OpenFOAM and Fenics solver

chaospy

Chaospy - Toolbox for performing uncertainty quantification.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

co2-sequestration

Carbon Capture and Sequestration (CCS) has been proposed as a promising and necessary technology for mitigating CO2 and the effects of anthropogenic climate change. Deep geological formations, like saline aquifers, are pointed out as promising areas for large-scale storage of CO2. If CCS is implemented on large scale to make noticeable reductions in atmospheric CO2, then it will require a solid scientific foundation defining the coupled hydrologic–geochemical–geomechanical processes that govern the long-term fate of CO2 in the subsurface, migration behavior of CO2, trapping mechanisms, proper utilization of methods to characterize and select sequestration sites, workflow and evaluation process, simulation methods, subsurface engineering to optimize performance, well placement, injection rate and cost, approaches to ensure safe operation, monitoring technology, remediation methods, regulatory overview, and an institutional approach for managing long-term liability. To address the above issues, we demonstrated, reviewed and developed the overall workflow of the process of CO2 sequestration in this study.

compphys

CompPhys - a Computational Physics repository

deep-uq-paper

A repository that contains scripts to replicate results in the Deep UQ paper.

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

eqporoelasticity

Solves coupled set of poroelastic equations for subduction zone events (EQ's, slow slip, subduction)

fempar

Finite Element Multiphysics PARallel solvers. Official mirror from https://gitlab.com/fempar/fempar

fenics-phasefield-brittle-fracture

ferrite.jl

Finite element toolbox for Julia

ferriteviz.jl

Plot your Ferrite.jl data

firedrake-playground

Demo and simple scripts using Firedrake

fracgen

Generator of geological fractures

fracpaq

Quantification of Fracture Patterns

fv_solver

cell centered FVM, specifically Multi-Point Flux Approximation, for incompressible two-phase flow equation

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

generalized_poroelastic_model_fenics

The model code for the poroelastic model assocaited with the article title "A generalized poroelastic model using FEniCS with insights into the Noordbergum effect" by Haagenson et al. published in Computers & Geosciences.

geosx

GEOSX Simulation Framework

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hybrid_hrom

FEniCS implementation of the hybrid reduced order/full‐order modeling strategy for nonlinear dynamic problems.

hybridporousinterfoam

OpenFOAM solver for performing two-phase flow simulations on hybrid-scale porous media.

hydrateflash

Thermodynamic stability calculation for mixed clathrate hydrates

hydrogeology_salome_plugin

This plugin was developed to facilitate simulation of several phenomena and scenarios in complex geometries which can not be generated and/or meshed within meshing software

hypre

Parallel solvers for sparse linear systems featuring multigrid methods.