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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...

This paper describes application of the seismic facies analysis method to identify prospective deposits in the carbonate sediments of the Republic of Tatarstan The Republic of Tatarstan is one of the main oil producing regions of Russia, which is one of the main global oil producers. Annually it produces about 26 million tons of oil. The main oil reserves were discovered in 1950-1980. To keep production on the high-level geoscientists apply new technologies, such as seismic facies analysis. Tatarstan succession co...