Fortran 90 source code, example problems, and output conversion scripts for the STOMP-W simulator.

This Julia language (version 0.5) script solves the coupled partial differential equations associated with (1) compressible gas flow in partially water-saturated porous media, (2) partially-saturated flow of water (essentially amounting to a solution of the Richards equation using the Van Genuchten equations for capillarity and relative permeabi…

Two phase particle transport model simulating formation damage in porous media

Master dissertation for HIT (SUSTech)

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

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

📘 Implementations using openFOAM library

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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

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

Porous Media Theory - a summary from a detailed literature review extracted from my PhD thesis

This is an attempt to render pore-scale images without manual intervention.

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 MATLAB-based tool used for generating 2D complex and geologically significant fracture networks. Originally developed as part of the master thesis of Andrea Sartori (http://resolver.tudelft.nl/uuid:d20ab3d6-a63d-41b2-b74d-198a3f3f44c5) and later extended by Stephan de Hoop (https://doi.org/10.2118/203968-ms).

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

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.

Image-based Throat Permeability Model for flow in porous media

Tutorial repository of introduction to porous materials using MATLAB

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

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.