A Novel Empirical Equation for Relative Permeability in Low Permeability Reservoirs

doi:10.1016/j.cjche.2014.09.031

›› 2014, Vol. 22 ›› Issue (11/12): 1274-1278.DOI: 10.1016/j.cjche.2014.09.031

• 过程系统工程与过程安全 • 上一篇下一篇

A Novel Empirical Equation for Relative Permeability in Low Permeability Reservoirs

Yulei Ge¹, Shurong Li¹, Kexin Qu²

1 College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China;
2 Emory college of arts and sciences, Emory University 201 Dowman Dr, Atlanta, GA 30322, America

收稿日期:2013-12-25 修回日期:2014-05-08 出版日期:2014-12-28 发布日期:2014-12-24
通讯作者: Shurong Li
基金资助:
Supported by the National Natural Science Foundation of China (60974039) and the Natural Science Foundation of Shandong Province (ZR2011FM002).

A Novel Empirical Equation for Relative Permeability in Low Permeability Reservoirs

Yulei Ge¹, Shurong Li¹, Kexin Qu²

1 College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China;
2 Emory college of arts and sciences, Emory University 201 Dowman Dr, Atlanta, GA 30322, America

Received:2013-12-25 Revised:2014-05-08 Online:2014-12-28 Published:2014-12-24
Supported by:
Supported by the National Natural Science Foundation of China (60974039) and the Natural Science Foundation of Shandong Province (ZR2011FM002).

摘要/Abstract

摘要： In this paper, a novel empirical equation is proposed to calculate the relative permeability of low permeability reservoir. An improved itemis introduced on the basis of Rose empirical formula and Al-Fattah empirical formula, with one simple model to describe oil/water relative permeability. The position displacement idea of bare bones particle swarm optimization is applied to change themutation operator to improve the RNA genetic algorithm. The parameters of the new empirical equation are optimizedwith the hybrid RNA genetic algorithm (HRGA) based on the experimental data. The data is obtained from a typical low permeability reservoir well 54 core 27-1 in GuDong by unsteady method.We carry out matlab programming simulation with HRGA. The comparison and error analysis show that the empirical equation proposed is more accurate than the Rose empirical formula and the exponential model. The generalization of the empirical equation is also verified.

关键词: Empirical equation, Relative permeability, Hybrid RNA genetic algorithm, Improved item, Low permeability reservoirs, Bare bones particle swarm

Abstract: In this paper, a novel empirical equation is proposed to calculate the relative permeability of low permeability reservoir. An improved itemis introduced on the basis of Rose empirical formula and Al-Fattah empirical formula, with one simple model to describe oil/water relative permeability. The position displacement idea of bare bones particle swarm optimization is applied to change themutation operator to improve the RNA genetic algorithm. The parameters of the new empirical equation are optimizedwith the hybrid RNA genetic algorithm (HRGA) based on the experimental data. The data is obtained from a typical low permeability reservoir well 54 core 27-1 in GuDong by unsteady method.We carry out matlab programming simulation with HRGA. The comparison and error analysis show that the empirical equation proposed is more accurate than the Rose empirical formula and the exponential model. The generalization of the empirical equation is also verified.

Key words: Empirical equation, Relative permeability, Hybrid RNA genetic algorithm, Improved item, Low permeability reservoirs, Bare bones particle swarm

Yulei Ge, Shurong Li, Kexin Qu. A Novel Empirical Equation for Relative Permeability in Low Permeability Reservoirs[J]. , 2014, 22(11/12): 1274-1278.

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A Novel Empirical Equation for Relative Permeability in Low Permeability Reservoirs

A Novel Empirical Equation for Relative Permeability in Low Permeability Reservoirs

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