Numerical simulations of polymer flooding process in porous media on distributed-memory parallel computers

JOURNAL OF COMPUTATIONAL PHYSICS

卷:400

Article

Zhong, He¹  Liu, Hui¹  Cui, Tao²  Chen, Zhangxin¹  Shen, Lihua¹  Yang, Bo¹  He, Ruijian¹  Guo, Xiaohu³ 

[1] Univ Calgary, Schulich Sch Engn, Chem & Petr Engn, Calgary, AB T2N 1N4, Canada

[2] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China

[3] Daresbury Lab, Sci & Technol Facil Council, Warrington, Cheshire, England

关键词: High performance computing;    Polymer flooding;    Water flooding;    Speedup;   

DOI  :  10.1016/j.jcp.2019.108995

来源: Elsevier

【 摘 要 】

Polymer flooding is a mature enhanced oil recovery technique that has been successfully applied in many field projects. By injecting polymer into a reservoir, the viscosity of water is increased, and the efficiency of water flooding is improved. As a result, more oil can be recovered. This paper presents numerical simulations of a polymer flooding process using parallel computers, where the numerical modeling of polymer retention, inaccessible pore volumes, a permeability reduction and polymer absorption are considered. Darcy's law is employed to model the behavior of a fluid in porous media, and the upstream finite difference (volume) method is applied to discretize the mass conservation equations. Numerical methods, including discretization schemes, linear solver methods, nonlinearization methods and parallel techniques are introduced. Numerical experiments show that, on one hand, computed results match those from the commercial simulator, Eclipse, Schlumberger, which is widely applied by the petroleum industry, and, on the other hand, our simulator has excellent speedup, which is demonstrated by large-scale applications with up to 27 million grid blocks using up to 2048 CPU cores. Crown Copyright (C) 2019 Published by Elsevier Inc. All rights reserved.

【 授权许可】

Free