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This paper describes theoretical and practical issues of neural network application for the seismic facies analysis. The authors attention was paid to the identification method of seismic facies by self-organizing neural network map by using the correlation matrix of calculated seismic attributes (Instantaneous frequency, Envelope, Gradient magnitude, Instantaneous phase, Variance, Relative acoustic impedance, Sweetness, Chaos) and facies from the wells. The method allows to build a facies distribution map. The pu...