Physics‐Informed Convolutional Decoder (PICD): A Novel Approach for Direct Inversion of Heterogeneous Subsurface Flow
Abstract We propose a physics‐informed convolutional decoder (PICD) framework for inverse modeling of heterogenous groundwater flow. PICD stands out as a direct inversion method, eliminating the need for repeated forward model simulations. The framework combines data‐driven and physics‐driven approa...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-07-01
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Series: | Geophysical Research Letters |
Subjects: | |
Online Access: | https://doi.org/10.1029/2024GL108163 |