Abstract: Algae limestone represents different characteristics in the plot of well logging. Accordingly seven parameters（GR,SP,CAL,AC,CNL,DEN,RT） selected from well logging data are standardized to form sample parameters for lithologic identification. The LBG(LindeBuzoGray) algorithms in Fmeans cluster is used to classify the samples, a set of data is then selected for the identification and analysis. Based on Q gene analysis, three identification functions have been obtained and used in lithologic identification and prediction in terms of well logging data of Huatugou oilfield. The method is fast and efficient in identifying algae limestone based on well logging data.

Key words: algae limestone, digitalized, LBG algorithms, lithologic identification