The artificial neural network-based two-phase equilibrium calculation framework for fast compositional reservoir simulation of CO2 EOR-Reference-Cited by-同舟云学术

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The artificial neural network-based two-phase equilibrium calculation framework for fast compositional reservoir simulation of CO2 EOR

Published:2024-10 Issue: Volume:585 Page:114151
ISSN:0378-3812
Container-title:Fluid Phase Equilibria
language:en
Short-container-title:Fluid Phase Equilibria

Author:

Li Liangnan,Jing Hongbin^ORCID,Liu Jianqiao,Pan Huanquan,Fang Zhengbao,Kuang Tie,Lan Yubo,Guo Junhui

Publisher

Elsevier BV

Reference79 articles.

1. Speeding up the two-phase PT-flash, with applications for calculation of miscible displacement;Michelsen;Fluid Phase Equilib.,1998

2. Modeling of Multiphase Behavior for Gas Flooding Simulation;Okuno,2009

3. Practical application of machine learning on fast phase equilibrium calculations in compositional reservoir simulations;Wang;J. Comput. Phys.,2020

4. Advanced Equation of State Modeling for Compositional Simulation of Gas Floods;Mohebbinia,2013

5. Equation of State Phase Behavior Modeling for Compositional Simulation;Perschke,1988

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