Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies
Abstract Inverse modeling is usually necessary for prediction of subsurface flows, which is beneficial to characterize underground geologic properties and reduce prediction uncertainty. Considering the intensive computational effort required for repeated simulation runs when solving inverse problems...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-07-01
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| Series: | Water Resources Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2022WR033644 |
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