基于改进粒子群算法的不规则井网自动优化  

Automatic optimization of irregular well pattern based on modified particle swarm algorithm

作　　者：丁帅伟[1] 姜汉桥[1] 周代余[2] 赵冀[2] 旷曦域[2] 白鹏 

机构地区：[1]中国石油大学(北京)石油工程教育部重点实验室,北京102249 [2]中国石油塔里木油田分公司勘探开发研究院,新疆库尔勒841000 [3]云南省煤炭地质勘查院,云南昆明650218

出　　处：《中国海上油气》2016年第1期80-85,共6页China Offshore Oil and Gas

基　　金："十二五"国家科技重大专项"西非深水油气田注采优化及高效开发模式研究(编号:2011ZX05030-005-05)"部分研究成果

摘　　要：深水油藏由于其特殊的油藏条件和开发特点,一般采用"少井高产"的高效开发模式,井网类型多为不规则井网,因此利用传统的规则井网部署方法进行井位的部署将不再适用。本文从惯性权值、速度更新策略和位置更新策略等三方面对标准粒子群算法进行了改进,建立了井位和井型自动优化模型,并利用改进的算法进行了求解。实例应用表明,本文对标准粒子群优化算法的改进是有效的,利用本文优化方法进行直井、水平井和定向井等不规则井网的优化是可行的。本文方法可以为深水油田高速开发模式的建立提供基础,同时为陆上油藏不规则井网部署提供参考。Higher yield with fewer wells strategy is usually adopted in the development of deep water reservoir due to the relatively special reservoir property and development condition. So using traditional regular well pattern deployment method is not adaptable for the high efficiency development mode because of the irregular well pattern. The standard particle swarm algorithm is improved from such aspects as inertia weight factor, update strategies of velocity and position, and the automatic optimization model of well location and type is established and solved. The application results show that the modified standard particle swarm algorithm is effective and feasible to optimize the irregular well patterns of vertical, horizontal and deviated wells. The proposed method can apply in establishing high efficiency development mode for deep water oil field and irregular well pattern deployment onshore.

关 键 词：井网自动优化 不规则井网 标准粒子群算法 改进粒子群算法 深水油藏 

分 类 号：TE324[石油与天然气工程—油气田开发工程] TE53