15 citations · 15 across the 1 of their papers we have counts for
3 papers
physics.flu-dyn2021
CCSNet: a deep learning modeling suite for CO storage
Gege Wen, Catherine Hay, Sally M. Benson
Numerical simulation is an essential tool for many applications involving subsurface flow and transport, yet often suffers from computational challenges due to the multi-physics na…
cs.LG2019
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…
math.OC2019★ 15 cited
Fast uncertainty quantification of reservoir simulation with variational U-Net
Larry Jin, Hannah Lu, Gege Wen
Quantification of uncertainty in production/injection forecasting is an important aspect of reservoir simulation studies. Conventional approaches include intrusive Galerkin-based m…