Optimization of Two-Phase Relative Permeability Parameters in Miscible Gas and WAG Injection Experiments Using Genetic Algorithm

Author/Authors

R. Soleimani EOR Studies Center - Research Institute of Petroleum Industry (RIPI), Tehran, Iran , A. Shahrabadi EOR Studies Center - Research Institute of Petroleum Industry (RIPI), Tehran, Iran , H. Bagherzadeh EOR Studies Center - Research Institute of Petroleum Industry (RIPI), Tehran, Iran , S. H. Yousefi EOR Studies Center - Research Institute of Petroleum Industry (RIPI), Tehran, Iran , M. Shadadeh EOR Studies Center - Research Institute of Petroleum Industry (RIPI), Tehran, Iran

كليدواژه

EOR , Miscible Gas Injection , WAG , Relative Permeability , LET Correlation

سال انتشار

2018

عنوان كنفرانس

The 10th International Chemical Engineering Congress & Exhibition (IChEC 2018)

زبان مدرك

انگليسي

چكيده فارسي

فاقد چكيده فارسي

چكيده لاتين

Miscible gas injection and WAG injection flooding are two of the most practical EOR methods used to enhance the amount of hydrocarbon produced. Due to the increasing demands for hydrocarbon products, it is now more essential to maximize the efficiency in each of these methods. In this paper, we used Genetic Algorithm (GA) to optimize relative permeability parameters in LET correlation in Miscible CO2 and WAG (Water Alternating Gas) injection experiments. To do so, a computer program using Matlab software is coupled with Eclipse software in order to investigate the effect of changing LET parameters on oil production rate. Finally, the results of simulation have been compared with laboratory data in order to confirm the validity of simulation.

كشور

ايران

تعداد صفحه 2

5

از صفحه

1

تا صفحه

5