scholarly journals An Automatic History Matching Method of Reservoir Numerical Simulation Based on Improved Genetic Algorithm

2012 ◽  
Vol 29 ◽  
pp. 3924-3928 ◽  
Author(s):  
Xian-song Zhang ◽  
Jian Hou ◽  
Dai-gang Wang ◽  
Ting-hua Mu ◽  
Jin-tao Wu ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Genetic Algorithm ◽  
History Matching ◽  
Improved Genetic Algorithm ◽  
Matching Method ◽  
Automatic History Matching ◽  
Simulation Based

scholarly journals Production Splitting Method for Commingled Production Reservoir Based on Automatic History Matching of Single Well

Lithosphere ◽  
2022 ◽  
Vol 2022 (Special 1) ◽  
Author(s):  
Yingfei Sui ◽  
Chuanzhi Cui ◽  
Zhen Wang ◽  
Yong Yang ◽  
Peifeng Jia
Keyword(s):  
Numerical Simulation ◽  
History Matching ◽  
Splitting Method ◽  
Production Performance ◽  
Water Flooding ◽  
Production Model ◽  
Mitigation Measures ◽  
Automatic History Matching ◽  
Well Production ◽  
Single Well

Abstract The interlayer interference is very serious in the process of water flooding development, especially when the reservoir adopts commingling production. The implementation of various interlayer interference mitigation measures requires that the production performance parameters and remaining oil distribution of each layer of the reservoir should be clearly defined, and the accurate production splitting of oil wells is the key. In this paper, the five-spot pattern is simplified to a single well production model of commingled production centered on oil well. The accurate production splitting results are obtained through automatic history matching of single well production performance. The comparison between the calculation results of this method and that of reservoir numerical simulation shows that the method is simple, accurate, and practical. In the field application, for the multilayer commingled production reservoir without accurate numerical simulation, this method can quickly and accurately realize the production splitting of the reservoir according to the development performance data.

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