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Nested Fourier-DeepONet for 3D geological carbon sequestration (GCS)

The data and code for the paper J. E. Lee, M. Zhu, Z. Xi, K. Wang, Y. O. Yuan, & L. Lu. Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration. Engineering Applications of Computational Fluid Mechanics, 18 (1), 2024.

Data

The full dataset for Nested Fourier-DeepONet is available on OneDrive. Download and put all files into datasets folder.

Steps to generate the full dataset for Nested Fourier-DeepONet:

  • step 1: download raw data
  • step 2: run file_config.sh to convert .npy file into .pt files
  • step 3: create a new folder datasets_nested_fno under the main folder and put the files generated in step 2 into the folder datasets_nested_fno
  • step 4: run data_generation.py to covert .pt files into our .npz files

Code

to be uploaded

Cite this work

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

@article{lee2024efficient},
author = {Jonathan E. Lee, Min Zhu, Ziqiao Xi, Kun Wang, Yanhua O. Yuan and Lu Lu},
title = {Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration},
journal = {Engineering Applications of Computational Fluid Mechanics},
volume = {18},
number = {1},
pages = {2435457},
year = {2024},
doi = {https://doi.org/10.1080/19942060.2024.2435457}
}

Questions

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

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