A Python package for performing pore network modeling of porous media

A set of tools for characterizing and analyzing 3D images of porous materials

Python Simulation Tool for Fractured and Deformable Porous Media

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)

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

Simulate the formation of three-dimensional packings of spherical and non-spherical (regular and irregular) particles with prescribed size distributions.

Toolbox for particulate microstructure modelling

Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image analysis. Includes tools for: annotation, AI, HPC, porous media flow simulation, porosity analysis, permeability analysis and much more.

Tutorial repository of introduction to porous materials using MATLAB

ListLBM is a sparse lattice Boltzmann solver for multiphase flow in porous media

DuMux: an open-source simulator for flow and transport processes in porous media (repository mirrored from https://git.iws.uni-stuttgart.de/dumux-repositories/dumux.git)

Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.

Random walk to calculate the tortuosity tensor of images

OpenFOAM solvers for flow and transport in porous media in paper-based microfluidics

The MultiScale Network for hierarchical regression (MS-Net) performs 3D regression based on a hierarchical principle: coarse inputs provide broad information about the data, and progressively finer-scale inputs can be used to refine this information.

A simple finite difference scheme for the Rayleigh-Bernard equations (buoyancy driven convection).

FEM MATLAB framework for multiphysics problems in porous media

Open-source preprocessing tool that can create, at the required level of accuracy, a fully conformal uniformly distributed grid for a given realistic fracture network. This leads to a robust way of constructing a hierarchy of Discrete-Fracture-Models for uncertainty quantification of energy production from reservoirs with natural fracture networ…

A python package for physics-informed machine learning for solving partial differential equations