一种新的计算低渗油藏相对渗透率的方程（英文）

In this paper, a novel empirical equation is proposed to calculate the relative permeability of low permeability reservoir. An improved item is introduced on the basis of Rose empirical formula and Al-Fattah empirical formula, with one simple model to describe oil/water relative permeability. The po...

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Published in:中国化学工程学报：英文版 2014 (Z1), p.1274-1278
Main Author: 葛玉磊 李树荣 曲珂馨
Format: Article
Language:English
Subjects:
algorithm
Bare
bones
Empirical
equation
genetic
Hybrid
Improved
item
Low
particle
permeability
Relative
reservoirs
RNA
swarm
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description In this paper, a novel empirical equation is proposed to calculate the relative permeability of low permeability reservoir. An improved item is 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 the mutation operator to improve the RNA genetic algorithm. The parameters of the new empirical equation are optimized with 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 Gu Dong 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.
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subjects algorithm
Bare
bones
Empirical
equation
genetic
Hybrid
Improved
item
Low
particle
permeability
Relative
reservoirs
RNA
swarm
title 一种新的计算低渗油藏相对渗透率的方程（英文）
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