Abstract
To solve the problems of forecasting oil and gas content on one of the local structures of the South Tatar arch (Volzhsko-Kama anteclise), discriminant and neural network analyzes with training on reference wells were applied during the processing the results of geochemical surveys. Comparison with the results of the classical quantitative description of the geochemical field showed mainly the coincidence of areas of high hydrocarbon concentrations in near-surface sediments and anomalies identified by statistical methods. Based on the integration of the results of statistical processing of geochemical data and their geological interpretation, the structure was characterized as promising.
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