Neural operators for hydrodynamic modeling of underground gas storage facilities
Objectives. Much of the research in deep learning has focused on studying mappings between finite-dimensional spaces. While hydrodynamic processes of gas filtration in underground storage facilities can be described by partial differential equations (PDE), the requirement to study the mappings betwe...
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| Main Authors: | D. D. Sirota, K. A. Gushchin, S. A. Khan, S. L. Kostikov, K. A. Butov |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
MIREA - Russian Technological University
2024-12-01
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| Series: | Российский технологический журнал |
| Subjects: | |
| Online Access: | https://www.rtj-mirea.ru/jour/article/view/1035 |
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