Seepage simulation of CO<sub>2</sub> immiscible flooding in low-permeability reservoirs based on physics-informed neural networks

SHI QIONGLIN; LI JUNJIAN; LYU XIAOCONG; LIU HUIQING; YANG XIAOLIANG

doi:10.13809/j.cnki.cn32-1825/te.2025057

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Seepage simulation of CO₂ immiscible flooding in low-permeability reservoirs based on physics-informed neural networks

Digital and Intelligent Energy | 更新时间：2026-06-12

- Seepage simulation of CO₂ immiscible flooding in low-permeability reservoirs based on physics-informed neural networks
- Petroleum Reservoir Evaluation and Development Vol. 16, Issue 4, Pages: 926-933(2026)
- 作者机构：
  
  1.中国石油大学（北京）石油工程学院，北京 102249
  2.中国石油冀东油田分公司陆上作业区，河北唐山 063200
- 作者简介：
- 基金信息：
- DOI：10.13809/j.cnki.cn32-1825/te.2025057
  CLC： T357
- Received：12 January 2026，
  
  Published：26 July 2026
- 稿件说明：
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石琼林, 李俊键, 吕晓聪, 等. 基于物理信息神经网络的低渗透油藏CO₂非混相驱渗流模拟[J]. 油气藏评价与开发, 2026, 16(4): 926-933. DOI: 10.13809/j.cnki.cn32-1825/te.2025057.

SHI Qionglin, LI Junjian, LYU Xiaocong, et al. Seepage simulation of CO₂ immiscible flooding in low-permeability reservoirs based on physics-informed neural networks[J]. Petroleum Reservoir Evaluation and Development, 2026, 16(4): 926-933. DOI: 10.13809/j.cnki.cn32-1825/te.2025057.
石琼林, 李俊键, 吕晓聪, 等. 基于物理信息神经网络的低渗透油藏CO₂非混相驱渗流模拟[J]. 油气藏评价与开发, 2026, 16(4): 926-933. DOI: 10.13809/j.cnki.cn32-1825/te.2025057. DOI：

SHI Qionglin, LI Junjian, LYU Xiaocong, et al. Seepage simulation of CO₂ immiscible flooding in low-permeability reservoirs based on physics-informed neural networks[J]. Petroleum Reservoir Evaluation and Development, 2026, 16(4): 926-933. DOI: 10.13809/j.cnki.cn32-1825/te.2025057. DOI：

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Seepage simulation of CO2 immiscible flooding in low-permeability reservoirs based on physics-informed neural networks

DOI：10.13809/j.cnki.cn32-1825/te.2025057

Seepage simulation of CO₂ immiscible flooding in low-permeability reservoirs based on physics-informed neural networks