Fourier-MIONet for geological carbon sequestration (GCS)

The data and code for the paper Z. Jiang, M. Zhu, & L. Lu. Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration. Reliability Engineering & System Safety, 251, 110392, 2024.

Data

Download data from OneDrive

Code

Note: When you run the codes, please use the modified deepxde under the directory of corresponding python file. The codes cannot run under the public version of deepxde.

Fourier-MIONet

• Run Fourier-MIONet_sg.py for gas saturation.
• Run Fourier-MIONet_dP.py for pressure buildup.

vanilla MIONet

• Run MIONet_vanilla_SG.py for gas saturation.
• Run MIONet_vanilla_dP.py for pressure buildup.

MIONet-FNN

• Run MIONet_FNN_SG.py for gas saturation.
• Run MIONet_FNN_dP.py for pressure buildup.

Cite this work

If you use this data or code for academic research, you are encouraged to cite the following paper:

@article{jiang2024fourier,
  title   = {{Fourier-MIONet}: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration},
  author  = {Jiang, Zhongyi and Zhu, Min and Lu, Lu},
  journal = {Reliability Engineering \& System Safety},
  volume  = {251},
  pages   = {110392},
  year    = {2024},
  doi     = {https://doi.org/10.1016/j.ress.2024.110392}
}

Questions

To get help on how to use the data or code, simply open an issue in the GitHub "Issues" section.