基于新型遗传算法的碳酸盐岩油气藏布井研究  

Research on Well Distribution in Carbonate Reservoirs Based on Novel Genetic Algorithm

作　　者：姜瑞忠[1] 杨宜渤 JIANG Rui-zhong;YANG Yi-bo(College of Petroleum Engineering,China University of Petroleum,Qingdao,Shangdong 266580,China)

机构地区：[1]中国石油大学(华东)石油工程学院,山东青岛266580

出　　处：《计算机科学》2018年第B11期584-586,共3页Computer Science

摘　　要：塔河油田隶属碳酸盐岩油田,由于缝洞发育的随机性,因此需要在开发初期进行合理的井位确定,以最大限度地提高开发效果。通过对传统的遗传算法进行多角度的改进,提出了一种新型遗传算法,并将其率先应用于油气田开发领域,相继引入淘汰算子、精英档案,改进了种群之间协同进化过程中的共生伙伴确定策略,大幅度提高了寻优性能。最后借助塔河油田某区块的实际开发地质模型,进行相关模拟与计算,得到了比传统算法高5%的采收率和累产油量,效果良好。Tahe Oilfield belongs to carbonate rock field.Due to the randomness of zave development,it is necessary to establish reasonable well position at the beginning of development to improve the development effect to the maximum extent.The traditional genetic algorithm was improved in multiple sections and a new genetic algorithm was put forward,which is used in the domain of oil and gas field development.The introduction of elimination operator,elite files and the new co-evolution between the various groups,greatly improve the optimization performance.Finally,by means of the actual development of the geological model of the oil field,the relevant simulation and calculation are done,and the final recovery ratio and accumulated produced oil is more than 5%higher than the result of traditional algorithm.The effect of this algorithm is good.

关 键 词：井位优化 淘汰算子 精英档案 新型协同进化 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]