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...
-д хадгалсан:
| Үндсэн зохиолчид: | , , , , |
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| Формат: | Artigo |
| Хэл сонгох: | Chinês |
| Хэвлэсэн: |
Editorial Department of Petroleum Reservoir Evaluation and Development
2026-07-01
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| Цуврал: | Youqicang pingjia yu kaifa |
| Нөхцлүүд: | |
| Онлайн хандалт: | http://www.pred.com.cn/thesisDetails#10.13809/j.cnki.cn32-1825/te.2025057 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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