Predicting multiphase flow behavior of methane in shallow unconfined aquifers using conditional deep convolutional generative adversarial network
Published: 12 September 2022| Version 1 | DOI: 10.17632/vx2rpp2wh9.1
Contributors:
Reza Ershadnia, , , , Description
The attached CMG-GEM input files and cDC-GANs codes (written by Python) were used to simulate CH4 migration in shallow unconfined aquifer systems.
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Categories
Numerical Modeling, Adversarial Machine Learning