Optimization of vertical well placement by using a hybrid particle swarm optimization |
| |
| Authors: | Xiaojian Dong Zhijian Wu Chao Dong Zhangxin Chen Hui Wang |
| |
| Institution: | DONG Xiaojian1,WU Zhijian1,DONG Chao2,CHEN Zhangxin2,WANG Hui1 1.State Key Laboratory of Software Engineering,Wuhan University,Wuhan 430072,Hubei,China,2.Department of Chemical and Petroleum Engineering,University of Calgary,Calgary,Alberta,Canada |
| |
| Abstract: | Locating wells is an important step in oil exploitation.This paper proposes a novel approach,which first combines particle swarm optimization,genetic algorithm,and a reservoir simulation evaluation tool to optimize the locations of vertical wells.Simulation results show that the convergence efficiency of our approach outperforms traditional genetic algorithm and overcomes the disadvantage of particle swarm algorithm that would be easily trapped into best-at-local solution so that its optimization result has... |
| |
| Keywords: | well location optimization particle swarm optimization genetic algorithm(GA) global optimization |
| 本文献已被 CNKI SpringerLink 等数据库收录！ |
|
