Abstract. In this work, authors cover the basics of thinking feasibility of the acquired practical experience of application of methods, technologies of artificial neural networks application based on neuroemulator of neuromorphic computers with patterns formation. Study provides results of patterns formation in 2D and 3D formats in seismic wave fields of Verkhnechonsk field There is also forecasting based on pattern formation results on licensed sites that has led to petroleum discovery.

Abstract. The study describes methodological techniques and results of geophysical well logging and seismic data interpretation by means of trainable neural networks. Objects of research are wells and seismic materials of Talakan field. The article also presents forecast of construction and reservoir properties of Osa horizon. The paper gives an example of creation of geological (lithological -facial) model of the field based on developed methodical techniques of complex interpretation of geologicgeophysical data by trainable neural network. The constructed lithological -facial model allows specifying a geological structure of the field. The developed methodical techniques and the trained neural networks may be applied to adjacent sites for research of carbonate horizons.

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