#br# Application of Genetic Algorithm for Well Placement Optimization in Sulige Gasfield

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  • (College of Petroleum Engineering,China University of Petroleum,Qingdao 266580,China)

Received date: 2014-03-04

  Revised date: 2014-04-21

  Online published: 2014-10-10

Abstract

Sulige Gasfield is a typical tight sandstone gas field.The effective drainage area is small due to its reservoir heterogeneity and ultra-low permeability.In order to improve single well controlled reserves and gas recovery factor,there is an urgent need to determine the optimum well numbers and location by well placement optimization.Therefore,we perform well location optimization of Sulige Gasfield by using the optimization theory combined with numerical simulation,based on Matlab′s genetic algorithm toolbox.In the study,the objective function is the net present value (NPV) and the variables are well spacing and well location.Then the optimized well spacing and well location which makes the NPV the highest was selected.The optimization results show that the best well spacing of Sulige Gasfield is 0.5km2/well.For the best well spacing case,the NPV of the GA algorithm which is ¥1.462 59 billion is greater than the NPV of the conventional well pattern which is ¥1.433 78 billion.The NPV increases by 2.01%.The well placement optimization based on GA overcomes the disadvantage of the conventional well pattern which is experience-dependent.The optimized well location has a close relationship with the permeability distribution.The high permeability zone has more wells and the low permeability zone has fewer wells.
 

Cite this article

JIANG Rui-zhong,LIU Ming-ming,XU Jian-chun,SUN Zhao-bo,XING Yong-chao . #br# Application of Genetic Algorithm for Well Placement Optimization in Sulige Gasfield[J]. Natural Gas Geoscience, 2014 , 25(10) : 1603 -1609 . DOI: 10.11764/j.issn.1672-1926.2014.10.1603

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