Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)
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Updated
Dec 1, 2023 - Python
Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)
Pore network extraction from micro-CT images of porous media
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.
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)
Starfish: An open source pore network modeling software
A python package that takes XCT images of porous materials and generates representative digital twin micromodels
This code creates CSV files for pore bodies and pore throats of stochastically generated 3D pore microsturtures. The files are intended to make 3D images/ surface files and run simulations in STAR-CCM+.
This STAR CCM+ java code takes in two csv files (pore bodies and pore throats), use them to generate pore microstructures, and simulate fluid flow through it. The output of this script is a csv file of flow properties through a set number of iterations.
The notebook demonstrates the workflow for obtaining pore size distribution from binarized micro-CT images. The general principle involves identifying each pore, estimating the volume of each pore, and ultimately determining the radius of a sphere with an equivalent volume of each pore.
The notebook shows the principle behind the minimum incremental pore volume (MIPV) and estimating the effective pore-throat radius (EPTR) as outlined in steps in the paper above.
3D Porosity, Tortuosity, and Permeability Assessment in Randomly Generated 3D Savonnières Carbonate Samples
Sidian's webpage
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