Weight Determination of Static and Dynamic Influencing Factors of the Change of Waterflooding Oil Well Based on Grey Relational Analysis and Analytic Hierarchy Process

Hua Wen, Yikun Liu, Naidong Sun, Jiyuan Lu, Junfeng Wu
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引用次数: 1

Abstract

LaSaXing oilfield has entered into the extra high water cut development stage, when analysising dynamic the static factors, production factors and dynamic factors that influence oil well change are more,  only depended on the qualitative analysis, it is difficult to accurately judge the cause of oil well change, can not meet the urgent need of oilfield development. This paper selects the static and dynamic factors affect the oil well change, the weight of static and dynamic influencing factors of the change of waterflooding wells are determined using the grey correlation analysis and the analytic hierarchy process based on exponential scale. The practices show that the weight of static and dynamic factors of the oil well change that determined using this method is scientific and reasonable, accord with the actual of oilfield, and provide reliable basis for intelligent analysis of dynamic change of oil well.
基于灰色关联分析和层次分析法的水驱油井变化静、动态影响因素权重确定
拉萨兴油田已进入特高含水开发阶段,在进行动态分析时影响油井变化的静态因素、生产因素和动态因素较多,仅依靠定性分析,难以准确判断油井变化的原因,不能满足油田开发的迫切需要。选取影响油井变化的静态和动态因素,采用灰色关联分析和基于指数尺度的层次分析法确定了影响水驱井变化的静态和动态因素的权重。实践表明,用该方法确定的油井动态变化因素权重科学合理,符合油田实际,为油井动态变化的智能分析提供了可靠依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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