Using Well Log Data to Automatically Identify Lithology of Reservoir with Low Porosity and Low Permeability—An example from Anpeng Paleogene in Biyang sag

Abstract

Abstract: The well logs response characteristic of low porosity and low permeability reservoir is analyzed in detail. The method for selection of key parameters of lithology identification by using grey correlation is proposed. Through the automatic stratification realized by intra-layer differentiation method to select sample layers and conduct cluster analysis using major components, divide the sample layers into several logging facies, and finally, the logging facies-lithology identification of uncertain layers is made by Bayes successive discriminate analysis. This method is effective in application.

Key words: Biyang sag, low permeability reservoir, log facies, grey correlation, cluster analysis, lithology identification

CLC Number:

P631.829.6

SHEN Hui-lin, FANG Peng, LIU Mei-jie. Using Well Log Data to Automatically Identify Lithology of Reservoir with Low Porosity and Low Permeability—An example from Anpeng Paleogene in Biyang sag[J]. Xinjiang Petroleum Geology, 2010, 31(6): 644-646.

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Using Well Log Data to Automatically Identify Lithology of Reservoir with Low Porosity and Low Permeability—An example from Anpeng Paleogene in Biyang sag

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