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 lab-on-chip 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.
Sidian's webpage
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