A Hybrid Genetic Algorithm for Well Placement Optimization

摘要：

Optimal placement of oil, gas or water wells is a complex problem that depends on reservoir and fluid properties, well and surface equipment specifications, as well as economic parameters. An optimization approach that enables the evaluation of all these information is presented. A hybrid of the Genetic Algorithm (HGA) forms the basis of the optimization technique. Experiments of oil production optimization on 40*40 simulation grids carried out the optimum well locations and the cumulative productions.

作者: Jing Chen Fang Hao Zhenhua Li

作者单位: Faculty of Resource, China University of Geosciences, 430074, Wuhan, Hubei, China School of Computer Faculty of Resource, China University of Geosciences, 430074, Wuhan, Hubei,China School of Computer,China University of Geosciences, 430074, Wuhan, Hubei, China

会议类型: 国际会议

会议名称: Third International Symposium on Intelligence Computation and Applications(ISICA 2008)(第三届智能自动化、计算与制造国际研讨会)

会议地点: 武汉

会议语种:英文

页码: 42-44

在线出版日期: 2008-12-19（万方平台首次上网日期，不代表论文的发表时间）