2003•Journal of Xinjiang Petroleum InstituteRequires access

IDENTIFY LITHOLOGY OF CARBONATE ROCKS BY FUZZY MATHEMATICS

Wei Liu

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Abstract

In accordance with low success ratio of lithology identification in carbonate formation, a made of Identifying lithology of carbonate rocks through fuzzy mathematics has set up. 8 logging parameters reflecting lithology of carbonate rocks were selected and threshold values were determined.Lithologies of carbonate rocks were classified by using this identification made and maximum subordination principle. Using field data identified 10 types of carbonate rocks, and they were compared with the result of core analysis, showing 85% consistency. Therefore this method has higher accuracy for identification of carbonate lithology, and is quite promising in geological application.

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In accordance with low success ratio of lithology identification in carbonate formation, a made of Identifying lithology of carbonate rocks through fuzzy mathematics has set up. 8 logging parameters reflecting lithology of carbonate rocks were selected and threshold values were determined.Lithologies of carbonate rocks were classified by using this identification made and maximum subordination principle. Using field data identified 10 types of carbonate rocks, and they were compared with the result of core analysis, showing 85% consistency. Therefore this method has higher accuracy for identification of carbonate lithology, and is quite promising in geological application.

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Available abstract

In accordance with low success ratio of lithology identification in carbonate formation, a made of Identifying lithology of carbonate rocks through fuzzy mathematics has set up. 8 logging parameters reflecting lithology of carbonate rocks were selected and threshold values were determined.Lithologies of carbonate rocks were classified by using this identification made and maximum subordination principle. Using field data identified 10 types of carbonate rocks, and they were compared with the result of core analysis, showing 85% consistency. Therefore this method has higher accuracy for identification of carbonate lithology, and is quite promising in geological application.

Key concepts: Lithology, Carbonate, Geology, Carbonate rock, Geochemistry, Mineralogy, Identification (biology), Sedimentary rock

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