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

CO₂ 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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Bibliografische gegevens

Hoofdauteurs:	SHI QIONGLIN, LI JUNJIAN, LYU XIAOCONG, LIU HUIQING, YANG XIAOLIANG
Formaat:	Artigo
Taal:	Chinês
Gepubliceerd in:	Editorial Department of Petroleum Reservoir Evaluation and Development 2026-07-01
Reeks:	Youqicang pingjia yu kaifa
Onderwerpen:	physics-informed neural networks low-permeability reservoirs CO<sub>2</sub> immiscible flooding threshold pressure gradient CO<sub>2</sub> dissolution Buckley-Leverett equation
Online toegang:	http://www.pred.com.cn/thesisDetails#10.13809/j.cnki.cn32-1825/te.2025057
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