A Novel Empirical Equation for Relative Permeability in Low Permeability Reservoirs

作者：Ge, Yulei; Li, Shurong^*; Qu, Kexin

来源：Chinese Journal of Chemical Engineering, 2014, 22(11-12): 1274-1278.

DOI：10.1016/j.cjche.2014.09.031

• Empirical equation
• Relative permeability
• Hybrid RNA genetic algorithm
• Improved item
• Low permeability reservoirs
• Bare bones particle swarm

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 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.

• 出版日期2014-11
• 单位中国石油大学（北京）