Code for fracture generation and multiphase flow simulation used for training denoising diffusion model-driven initializations
Codes for generating synthetic fractures and multiphase flow simulations for training denoising diffusion model-driven initializations Original code papers and repositories: Synthetic fracture generation Paper: Guiltinan, E., Santos, J. E., Purswani, P., & Hyman, J. D. (2024). pySimFrac: A Python library for synthetic fracture generation and analysis. Computers & Geosciences, 191, 105665. Code: https://github.com/lanl/pySimFrac Multiphase flow simulation Paper: Santos, J. E., Gigliotti, A., Bihani, A., Landry, C., Hesse, M. A., Pyrcz, M. J., & Prodanović, M. (2022). MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX, 18, 101097. Code: https://github.com/je-santos/MPLBM-UT
Institutions
- Los Alamos National Laboratory (US)
- Stanford University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-11-06
- DOI
- https://doi.org/10.5281/zenodo.14047107
- Citations
- 1
- Primary Topic
- Groundwater flow and contamination studies
- Type
- article
- Field-Weighted Citation Impact
- 0.21