This workflow calculates capillary pressure curves, relative permeability, tortuosity, contact angles, and the percolation pathway of grain packs/image slices. The direct fluid flow simulation is performed using Palabos v2.
This repository was created by Javier E. Santos and Abhishek Bihani in collaboration with Christopher Landry, Hugh Daigle, Masa Prodanovic, Wenhui Song, and Michael Pyrcz
Non-wetting fluid (purple) traveling through a spherepack.
Unsteady flow simulation showing a capillary pressure increment with different colors.
Percolating path of a non-wetting fluid (rock and wetting fluid not shown).
Velocity magnitude of a single phase flow simulation.
This library provides tools to interact with the palabos simulation engine. Its aim is to provide ready-to-go tools to compute relevant properties for permeable media. It includes scripts for creating efficient geometries for simulation, single and multiphase models with various boundary conditions, and extensive postprocesing tools. The Palabos backend makes the simulation engine flexible enought to be run on a single core of a personal computer or in hundreds of nodes of a supercomputer.
- Matlab or Octave (Python alternative coming soon)
- Unix system (the Windows bash or the terminal in Mac)
- GCC 7.2
- OpenMPI 2.1.1 or MPICH2
- Python 2.7.x (to complie Palabos)
./Install.shPlease refer to the unsteady state example for a complete workflow
- Pre-processing (Matlab/Octave):
To create the geometry for simulating with Palabos (.dat file),
- If the geometry is a 3D array, use pre-processing/create_geom_edist.m
- If the geometry is an image sequence, use pre-processing/createDAT.m
Two-Phase LBM Simulation (cpp w/MPI using PALABOS):
- Update geometry and simulation parameters in input xml file. An explanation of every input (in english and chinese) is provided in examples/1_two_phase_template_explanation
Post-processing (Matlab/Octave):
- Read the generated files using post-porcessing/domains_4_kr.m
(It will calculate the wetting saturation for all vtk files, will convert the fluid configurations (1 and 2) to .dat files for 1-phase LBM simulation and will find the vtk file where breakthrough occurs and the percolation path/tortuosity. You can choose if you want to generate fluid geometries or calculate percolation path at breakthrough)
Single-Phase LBM Simulation (cpp w/MPI using PALABOS):
- Update geometry and simulation parameters in input xml file
Optional: Run porethroat_dist.m to calculate pore and throat size distribution of geometry from vtk file created during 2-phase LBM simulation
- Young's equation
- Young-Laplace
- Washburn
- Unsteady state
- Steady state: an video example is shown in: youtube video
Segmentation error: Image dimensions are not correct, try switching the dimensions.
Image is loaded properly but it doesn't look right: This is likely because Palabos engine switches the X and Z coordinates
SCons compilation error: create a conda enviroment with python2 (Palabos needs it):
conda create --name py2 python=2.7
./Install.shWhy am I seeing the same line printed multiple times? / Why is the code so slow?: Probably MPI is not installed in your system, this could be solved by:
sudo apt-get install build-essential
sudo apt-get install gfortran
cd /tmp
wget http://www.mpich.org/static/downloads/1.4.1/mpich2-1.4.1.tar.gz
tar xzvf mpich2-1.4.1.tar.gz
cd mpich2-1.4.1/
./configure
make
sudo make installNote that this process takes a few hours.
I am getting a Java Heap Memory error in Matlab? You need to change the JavaHeapMemory setting in Matlab:
If you're working on a remote system/cluster or supercomputer, the easiest way to do this is to find and change your matlab.prf file diretly.
You will find the matlab.prf in your user storage directory. It will be something like:
`[user home]/.matlab/[Matlab version]/matlab.prf`
Once the file is open add the following line to the file:
`JavaMemHeapMax = [Java Memory Code]`
You will need to find the sepcific Java memory code that corresponds to the amount of RAM you need.
Or you can try this fix (If you are on a remote system, cluster, or supercomputer this may not work): https://www.mathworks.com/matlabcentral/answers/74296-change-java-heap-memory-settings-without-starting-matlab
If you use our workflow, please cite as:
Santos J., Bihani A., Landry C., Multi-Phase Porous Media for Palabos. Git code (2019). 10.5281/zenodo.3842279
- Bihani A., Daigle H., Santos J., Landry C., Prodanović M., Milliken K. (2019). H44B-06: Insight into the Sealing Capacity of Mudrocks determined using a Digital Rock Physics Workflow. AGU Fall Meeting, 9-13 December, San Francisco, USA.
- Santos, J. E., Prodanovic, M., Landry, C. J., & Jo, H. (2018, August 9). Determining the Impact of Mineralogy Composition for Multiphase Flow Through Hydraulically Induced Fractures. Unconventional Resources Technology Conference. doi:10.15530/URTEC-2018-2902986
- Landry, C. J., Karpyn, Z. T., and Ayala, O. (2014), Relative permeability of homogenous‐wet and mixed‐wet porous media as determined by pore‐scale lattice Boltzmann modeling, Water Resour. Res., 50, 3672– 3689, doi:10.1002/2013WR015148.
- Santos, J. E., Xu, D., Jo, H., Landry, C. J., Prodanović, M., & Pyrcz, M. J. (2020). PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media. Advances in Water Resources, 138, 103539.
- Unsteady state simulation set-up: Pan, C., Hilpert, M., and Miller, C. T. ( 2004), Lattice‐Boltzmann simulation of two‐phase flow in porous media, Water Resour. Res., 40, W01501, https://doi.org/10.1029/2003WR002120.
- Contact angle approximation: Huang, H., Thorne, D. T., Schaap, M. G., & Sukop, M. C. (2007). Proposed approximation for contact angles in Shan-and-Chen-type multicomponent multiphase lattice Boltzmann models. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 76(6), 1–6. https://doi.org/10.1103/PhysRevE.76.066701.
- Fluid flow model: Santos, J. E. (2018). Lattice-Boltzmann modeling of multiphase flow through rough heterogeneously wet fractures. University of Texas at Austin (Master thesis). https://repositories.lib.utexas.edu/handle/2152/69246.
- Absolute permeability code modified from Degruyter et al. - http://www.palabos.org/documentation/tutorial/permeability.html
- Skeletonization code modified from Kollmannsberger Philip- https://www.mathworks.com/matlabcentral/profile/authors/4556277-philip-kollmannsberger
- Dijkstra's algorithm code modified from Kirk Joseph- https://www.mathworks.com/matlabcentral/fileexchange/12850-dijkstra-s-shortest-path-algorithm
We welcome contributions