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Meshless extended finite volume method of compositional reservoir model |
Received:December 03, 2022 Revised:February 03, 2023 |
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DOI:10.7511/jslx20221203001 |
KeyWord:generalized finite difference method meshless extended finite volume method compositional reservoir model reservoir numerical simulation |
Author | Institution |
饶翔 |
长江大学 油气钻采工程湖北省重点实验室, 武汉 ;长江大学 石油工程学院, 武汉 ;阿卜杜拉国王科技大学 物理科学与工程部Ali I. Al-Naimi石油工程研究中心, 沙特阿拉伯, 吉达 23955-6900 |
徐云峰 |
长江大学 油气钻采工程湖北省重点实验室, 武汉 ;长江大学 石油工程学院, 武汉 |
刘伟 |
长江大学 油气钻采工程湖北省重点实验室, 武汉 ;长江大学 石油工程学院, 武汉 |
周玉辉 |
长江大学 油气钻采工程湖北省重点实验室, 武汉 ;长江大学 石油工程学院, 武汉 |
刘怡娜 |
长江大学 油气钻采工程湖北省重点实验室, 武汉 ;长江大学 石油工程学院, 武汉 |
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Abstract: |
In this paper,the first meshless numerical solver of compositional reservoir models is developed.This meshless solver uses the point cloud which is subject to few topology constraints when generating and the extended finite volume method (EFVM) to discretize the reservoir calculation domain and the governing equations respectively,and can directly use the existing nonlinear solver in a mesh-based commercial simulator to calculate the global nonlinear discrete equations to obtain the profiles of pressure,phase saturation,and component concentration.In this paper,two typical compositional reservoir models (including CO2 flooding and steam flooding) are implemented to test the computational performance of the meshless simulator.The results of the numerical examples show that compared with the mesh-based methods,the meshless simulator can significantly reduce the difficulty of discretization of the computational domain of complex reservoirs,avoid the grid orientation effect of the Cartesian grid-based (FVM),and improve the computational accuracy and convergence efficiency of the nonlinear solver. |
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