Shokouhi et al (2021): Physics-informed deep learning for prediction of CO2 storage site response

Parisa Shokouhi, Vikas Kumar, Sumedha Prathipati, Seyyed A. Hosseini, Clyde Lee Giles, Daniel Kifer IN: Journal of Contaminant Hydrology, Volume 241, 103835, 2021, https://doi.org/10.1016/j.jconhyd.2021.103835.

Here, a physics-informed deep learning method is proposed that uses deep neural networks but also incorporates flow equations to predict a carbon storage site response to CO₂ injection. A 3D synthetic dataset is used to show the effectiveness of this modeling approach.

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