Adaptive Surrogate Estimation with Spatial Features Using a Deep Convolutional Autoencoder for CO<sub>2</sub> Geological Sequestration
This paper develops a reliable deep-learning framework to extract latent features from spatial properties and investigates adaptive surrogate estimation to sequester CO<sub>2</sub> into heterogeneous deep saline aquifers. Our deep-learning architecture includes a deep convolutional autoe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-01-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/2/413 |