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《Journal of East China Institute of Technology(Natural Science)》 2009-02
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The Method for Lithology Classification in Geophysical Well Logging Based on the K-means Dynamic Clustering Analysis

WANG Zhu-wen1,LIU Jing-hua1,REN Li2(1.College of GeoExploration Science and Technology,Jilin University,Changchun,130026,China;2.Well Logging Company,Drilling and Exploration Group of Daqing Petroleum Administrative Bureau,Daqing 163412,China)  
For geophysical well logging data processing and interpretation,lithology classification is one of the important steps in reservoir evaluation and description.Making use of computer to identify lithology automatically becomes the important direction for logging interpretation development.Clustering analysis is an important study field of data mining;it is an important means and method for data processing or packet processing.K-means algorithm is one of the main algorithm in the clustering algorithm,which is a clustering algorithm based on division.According to the property of that different lithologies have different responses in the conventional logging curves,and based on the principle of K-means dynamic clustering method,in combination with other information,this paper classified the underground lithologies,and the purposes of distinguishing and identifying the different lithologies in borehole were achieved.
【CateGory Index】: P631.81
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