G. Wen

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20192023

_{2}

geological storage prediction using nested Fourier neural operators

158 citations · 451 across the 8 of their papers we have counts for

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3 papers · 1 filter

cs.LG2023★ 11 cited

Learning CO $_{2}$ plume migration in faulted reservoirs with Graph Neural Networks

Xin Ju, François P. Hamon, Gege Wen +3

Deep-learning-based surrogate models provide an efficient complement to numerical simulations for subsurface flow problems such as CO $_{2}$ geological storage. Accurately capturing t…

cs.LG2022★ 158 cited

Real-time high-resolution CO $_{2}$ geological storage prediction using nested Fourier neural operators

Gege Wen, Zongyi Li, Qirui Long +3

Carbon capture and storage (CCS) plays an essential role in global decarbonization. Scaling up CCS deployment requires accurate and high-resolution modeling of the storage reservoi…

cs.LG2019★ 122 cited

Multiphase flow prediction with deep neural networks

Gege Wen, Meng Tang, Sally M. Benson

This paper proposes a deep neural network approach for predicting multiphase flow in heterogeneous domains with high computational efficiency. The deep neural network model is able…

Learning CO2​ plume migration in faulted reservoirs with Graph Neural Networks

Real-time high-resolution CO2​ geological storage prediction using nested Fourier neural operators

Multiphase flow prediction with deep neural networks

Learning CO $_{2}$ plume migration in faulted reservoirs with Graph Neural Networks

Real-time high-resolution CO $_{2}$ geological storage prediction using nested Fourier neural operators