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用模糊聚类方法划分岩石物理相 被引量:8

Application of fuzzy cluster technology for dividing petrophysical facies of reservoir
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摘要 分析了划分岩石物理相的方法 ,论述了模糊聚类划分方法。模糊聚类划分方法能较好地反映储层储集性能的成因特征。以枣南油田为例 ,选取反映储层成因的沉积和成岩作用参数 ,将工区储层岩石物理相划分为 5类。研究结果表明 ,随着储层岩石物理相级别的升高 ,储层成因参数及统计物性特征明显变好 ,储层产液能力也明显增强。 The traditional classification method for petrophysical facies was analyzed, and the fuzzy cluster technology was introduced. The new method can reflect the genetic features of reservoir. The depositional and genetic parameters of genetic reservoir of Zaonan Oilfield were selected to divide the reservoir into five kinds of petrophysical facies by using fuzzy cluster technology. The results show that along with the level rise of petrophysical facies,the genetic and statistical physical parameters of the reservoir are markedly advancing, and the productivity of the reservoir is enhancing. The results can provide some reference for exploration and production of oilfield.
出处 《石油大学学报(自然科学版)》 EI CSCD 北大核心 2004年第2期12-15,共4页 Journal of the University of Petroleum,China(Edition of Natural Science)
关键词 模糊聚类法 岩石物理相 储集性能 成岩作用参数 储层 产液能力 主因素法 油田 fuzzy cluster technology petrophysical facies reservoir feature comprehensive evaluation
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