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physics.comp-ph2020
Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow
Meng Tang, Yimin Liu, Louis J. Durlofsky
Data assimilation in subsurface flow systems is challenging due to the large number of flow simulations often required, and by the need to preserve geological realism in the calibr…
physics.comp-ph2019★ 13 cited
Deep-learning-based reduced-order modeling for subsurface flow simulation
Zhaoyang Larry Jin, Yimin Liu, Louis J. Durlofsky
A new deep-learning-based reduced-order modeling (ROM) framework is proposed for application in subsurface flow simulation. The reduced-order model is based on an existing embed-to…