Location optimization for the drilling platform of large-scale cluster wells

doi:10.7623/syxb201101028

Editorial office of ACTA PETROLEI SINICA ›› 2011, Vol. 32 ›› Issue (1): 162-166.DOI: 10.7623/syxb201101028

• Petroleum Exploration • Previous Articles Next Articles

Location optimization for the drilling platform of large-scale cluster wells

LI Wenfei 1 ZHU Kuanliang 2 GUANG Zhichuan 3 CHEN Ming 1 LIU Yunpeng 1 SHI Yucai 3

Received:2010-05-29 Revised:2010-08-18 Online:2011-01-25 Published:2011-03-23

大型丛式井组平台位置优化方法

李文飞 1 朱宽亮 2 管志川 3 陈明 1 刘云鹏 1 史玉才 3

1 中国石化集团胜利石油管理局钻井工艺研究院山东东营 257017； 2 中国石油冀东油田分公司钻采工艺研究院河北唐山 063000； 3 中国石油大学石油工程学院山东东营 257061

通讯作者: 李文飞
作者简介:李文飞，男，1978年6月生，2008年6月获中国石油大学（华东）博士学位，现为中国石化集团胜利石油管理局钻井工艺研究院工程师，主要从事钻井工程设计方面研究。
基金资助:
国家科技重大专项（2008ZX05022和2008ZX05015）资助。

Abstract

Abstract:

Location optimization of drilling platforms is one of the key problems in the cluster-well drilling technology.The present paper,based on the distribution of geological targets,took constraints of the minimal sum or quadratic sum of the total horizontal displacement of targets,the minimal sum of the total length of wellbores,or the minimal sum of the total drilling cost as the conditions to determine optimized criteria (target functions) for optimizing platform locations of wells to be drilled immediately,set up a mathematical programming model for the location optimization of drilling platforms of cluster wells,and discussed solution ways to this model by means of the genetic algorithm.Analyses of examples demonstrated that the mathematical programming model and solution ways established by this paper could optimize drilling-platform locations under the precondition of taking surface constraints such as environmental factors into integrative considerations,meet requirements of safety-drilling field constructions,reduce the cost of drilling largely and make a full use of superiority of the cluster-well drilling technology.All of these are of theoretical and practical significance to the drilling and exploitation of cluster wells.

Key words: cluster well, platform location, optimum design, genetic algorithm, horizontal displacement

摘要：

丛式井组钻井平台位置优选是丛式井钻井技术中的关键问题之一。根据地质靶点的分布情况，将“控制靶点位移之和最小”，或“控制井眼长度之和最小”，或“控制钻井成本之和最小”等条件作为优选平台位置的指标（目标函数），建立了丛式井钻井平台位置优化数学规划模型，并根据遗传算法的理论原理对模型进行了求解。实例分析表明，所建立的模型及遗传求解方法能够在综合考虑地面限制条件等环境因素的前提下，优选出钻井平台位置，并满足现场安全钻井施工的要求，同时大幅度降低了钻井综合成本，发挥出了丛式井钻井技术的优势。

关键词: 丛式井, 平台位置, 优化设计, 遗传算法, 水平位移

LI Wenfei ZHU Kuanliang GUANG Zhichuan CHEN Ming LIU Yunpeng SHI Yucai. Location optimization for the drilling platform of large-scale cluster wells[J]. Editorial office of ACTA PETROLEI SINICA, 2011, 32(1): 162-166.

李文飞朱宽亮管志川陈明刘云鹏史玉才. 大型丛式井组平台位置优化方法[J]. 石油学报, 2011, 32(1): 162-166.

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Location optimization for the drilling platform of large-scale cluster wells

大型丛式井组平台位置优化方法

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