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基于交会图与模糊聚类算法的复杂岩性识别
引用本文:张涛,莫修文.基于交会图与模糊聚类算法的复杂岩性识别[J].吉林大学学报(地球科学版),2007(Z1).
作者姓名:张涛  莫修文
作者单位:[1]吉林大学地球探测科学与技术学院 [2]吉林大学地球探测科学与技术学院 长春
摘    要:针对复杂岩性识别中存在的模糊性,应用交会图和模糊聚类方法对复杂岩性储层的岩性识别问题进行了研究。首先依据岩心取样进行岩性归类,然后通过交会图技术确定了9个对岩性反映较明显的参数,并建立起研究区域的岩性样本集。最后,通过模糊聚类的识别模式,依最大隶属度的原则,建立了岩性判别方法,并应用该方法对海拉尔盆地的岩性进行了识别,取得较好的效果。

关 键 词:交会图  测井参数  模糊聚类  岩性识别

Complex Lithologic Identification Based on Cross Plot and Fuzzy Clustering Algorithm
ZHANG Tao,MO Xiu-wen College of GeoExploration Science and Technology,Jilin University,Changchun ,China.Complex Lithologic Identification Based on Cross Plot and Fuzzy Clustering Algorithm[J].Journal of Jilin Unviersity:Earth Science Edition,2007(Z1).
Authors:ZHANG Tao  MO Xiu-wen College of GeoExploration Science and Technology  Jilin University  Changchun  China
Institution:ZHANG Tao,MO Xiu-wen College of GeoExploration Science and Technology,Jilin University,Changchun 130026,China
Abstract:Aiming at the fuzzy character that exists in complex lithologic identification,the problems of lithologic identification are researched by cross plot and fuzzy clustering algorithm.By researching cored samples,9 logging parameters reflecting distinctly lithology are selected by cross plot technique,and build up lithologic sample set.Finally,lithology of Hailar basin were identified by identification mode of fuzzy clustering and maximum subordination principle,which achieved better effect.
Keywords:cross-plot  logging parameters  fuzzy clustering  lithologic identification
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