Prospects for Predicting The Most Promising Ore-Bearing Areas Based on The Classification of Potential Fields

Abstract

Summary This article is aimed at studying new ways of forming predictive and prospecting models for the localization of ore objects. For this purpose, the text discusses the possibility of applying the classification technique of potential fields together with the transformation of the initial geophysical data, for further identification of the most interesting anomalous structures. Based on the results of studying the a priori information, the following transformations are performed: the division of the source maps into regional and local components, the calculation of the transformants of potential fields. Based on the identified identical features, the fields are classified using the Coscad 3D program, both for each field individually and for the combined model. As a result, a comprehensive analysis of the original and converted geoinformation is performed. The authors substantiate the patterns of distribution of the most interesting structures, draw conclusions about the prospects for the development of the method of classification of potential fields, when solving problems of interpretation of geophysical data.