Python Simulation Tool for Fractured and Deformable Porous Media

Code corresponding to paper "Robust time-discretisation and linearisation schemes for singular and degenerate evolution systems modelling biofilm growth" implemented in python using FEniCSx. It covers the biofilm model and the porous medium equation.

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

A Python package for performing pore network modeling of porous media

Acoustic design exploration and material property identification for porous structures

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

Random walk to calculate the tortuosity tensor of images

This project used convolutional neural networks to predict the steady-state concentration of 3D porous media, and subsequently calculates the tortuosity. This package includes data generation, processing, training, and post-processing functions. The loss function includes a Laplacian loss, which is a physics-informed loss.

Modeling multiphase flow in fractured porous media using DARTS: a simple DFM example. See https://darts.citg.tudelft.nl/ for more information

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