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physics.geo-ph2024
Physics-Informed Convolutional Decoder (PICD): A novel approach for direct inversion of heterogeneous subsurface flow
Nanzhe Wang, Xiang-Zhao Kong, Dongxiao Zhang
In this study, we present the development and application of the physics-informed convolutional decoder (PICD) framework for inverse modeling of heterogenous groundwater flow. PICD…
physics.geo-ph2021★ 67 cited
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
The theory-guided convolutional neural network (TgCNN) framework, which can incorporate discretized governing equation residuals into the training of convolutional neural networks…