JutulDarcyRules: auto-differentiable two-phase flow solvers based on Jutul and JutulDarcy
Interoperate Jutul.jl and JutulDarcy.jl to other Julia packages via ChainRules.jl
LICENSE
The software used in this repository can be modified and redistributed according to MIT license.
Papers
The following publications use JutulDarcyRules.jl:
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"Inference of CO2 flow patterns -- a feasibility study", doi: 10.48550/arXiv.2311.00290
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"Solving multiphysics-based inverse problems with learned surrogates and constraints", doi: 10.1186/s40323-023-00252-0
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"Learned multiphysics inversion with differentiable programming and machine learning", doi: 10.1190/tle42070474.1
Reference
If you use our software for your research, we appreciate it if you cite us following the bibtex in CITATION.bib.
Authors
This repository is written by Ziyi Yin from the Seismic Laboratory for Imaging and Modeling (SLIM) at the Georgia Institute of Technology.
If you have any question, we welcome your contributions to our software by opening issue or pull request.
SLIM Group @ Georgia Institute of Technology, https://slim.gatech.edu.
SLIM public GitHub account, https://github.com/slimgroup.