Physics-constrained deep learning for data assimilation of subsurface transport
Data assimilation of subsurface transport is important in many energy and environmental applications, but its solution is typically challenging. In this work, we build physics-constrained deep learning models to predict the full-scale hydraulic conductivity, hydraulic head, and concentration fields...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-03-01
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| Series: | Energy and AI |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546820300446 |