شماره ركورد كنفرانس :
5041
عنوان مقاله :
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
عنوان كنفرانس :
The 10th International Chemical Engineering Congress & Exhibition (IChEC 2018)
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.
