Seepage simulation of CO<sub>2</sub> immiscible flooding in low-permeability reservoirs based on physics-informed neural networks
CO<sub>2</sub> immiscible flooding technology in low-permeability reservoirs plays an important role in enhancing oil recovery and achieving carbon neutrality. This process involves solving strongly nonlinear equations, where traditional numerical simulation methods face challenges related to numeri...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
Editorial Department of Petroleum Reservoir Evaluation and Development
2026-07-01
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| Серии: | Youqicang pingjia yu kaifa |
| Предметы: | |
| Online-ссылка: | http://www.pred.com.cn/thesisDetails#10.13809/j.cnki.cn32-1825/te.2025057 |
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