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海上油田加密区域优选方法新探
引用本文:吕爱民,龙隆,姚军,王伟,冯鹏斌.海上油田加密区域优选方法新探[J].石油天然气学报,2012(4):126-130,135.
作者姓名:吕爱民  龙隆  姚军  王伟  冯鹏斌
作者单位:中国石油大学(华东)石油工程学院,山东青岛266555
基金项目:国家科技重大专项(2008ZX05024-004-002).
摘    要:根据海上油田与陆上油田的区别,分析了海上油田加密区域的优选影响因素,提出了海上油田加密区域优选指标体系,引入反映客观指标权重的相似权和反映主观认知程度的层次分析法,利用偏好系数将两者结合,对目标海上油田进行综合评分,对目标油田的评价进行量化,并考虑海上油田丛式井的特殊性,提出丛式井修正系数,通过最终评分结果可在平面上和纵向上对潜在加密区域进行优选排序,最终确定海上油田最优加密区域。该方法在海上B油田进行了应用,初步证明了该方法的可行性,为今后海上油田加密区域优选奠定了基础。

关 键 词:海上油田  井网加密  相似权  层次分析法  丛式井  修正系数

Discussion on Optimization of Well Pattern Infill Region in Offshore Oilfields
LU Ai-min,LONG Long,YAO Jun,WANG Wei,FENG Peng-bin.Discussion on Optimization of Well Pattern Infill Region in Offshore Oilfields[J].Journal of Oil and Gas Technology,2012(4):126-130,135.
Authors:LU Ai-min  LONG Long  YAO Jun  WANG Wei  FENG Peng-bin
Affiliation:(Authors’ Address:College of Petroleum Engineering,China University of Petroleum,Qingdao 266555,Shandong,China)
Abstract:According to the differences between offshore oilfields and onshore oilfields,the influential factors of optimization of well pattern infill region of offshore oilfields were analyzed,the optimized indicator system of the offshore oilfields was presented.In combination with the similarity weight method reflecting the weight of objective indicators with analytical hierarchical process reflecting the weight of subjective indicators by preference factor,composite score for the target offshore oilfield was obtained by optimization,and the target oilfield evaluation was quantitatively made,the specialily of cluster wells in offshore oilfields was taken into account,the correction factors of cluster wells were presented.The best infill region of offshore oilfields can be identified by sorting the infill regions in the plane and vertical positions with the final score.The method is used in Offshore Oilfield B,and it is proven that the method is feasible,it provides a foundation for optimization of well pattern infill region of offshore oilfields in the future.
Keywords:offshore oilfield  well pattern infill  similarity weight  hierarchical analysis  cluster well  correction factor
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