Ring Structures of the Norilsk Metallogenic Region: Evidence from Neural Network Analysis of Areal Geophysical Data

Nikulin, I.I.; Samsonov, A.A.; Kuznetsov, M.V.

Авторы: Nikulin I.I., Samsonov A.A., Kuznetsov M.V.
Журнал: Moscow University Geology Bulletin
Том: 76
Номер: 3
Год издания: 2021
Издательство: Allerton Press Inc.
Местоположение издательства: United States
Первая страница: 270
Последняя страница: 281
DOI: 10.3103/S014587522103008X
Аннотация: Abstract—A complex geophysical and mathematical model of the Norilsk metallogenic region, consisting offifteen levels of hierarchy, was constructed using the method of automatic express interpretation of areal geo-physical data developed by the authors. The model is based on the mathematical approach of fuzzy logic,including artificial neural networks without a teacher using the method of self-organizing Kohonen maps.The formation of groups of clusters that characterize the likely correlations of multidimensional geophysicaldata was substantiated and the relationships between them were analyzed by identification of correlations.Various geophysical transformants were analyzed using self-organizing Kohonen maps. A number of inputrepresentative indicators of their groups were determined, which allowed us to construct a geophysical–mathematical model in the form of a two-dimensional map of clusters using fuzzy logic tools. Terminologicalsets for each group of clusters were formed; the type of membership functions of previously unknown geolog-ical objects was set based on the newly interpreted data. The clusters calculated according to the results of thestudy ref lect the northwestern fragment of the fields of basaltic magmatism of the trap formation, includingtwo ring structures. The model ring structure in the western part of the studied area ref lects the Bolgokh-tokhskii granodiorite stock. The second ring structure, Pyasinskaya, which was previously unknown, indi-cates the presence of a dome-shaped object at a great depth, which is a likely source of root zones of intrusionsof the Norilsk Formation. The experimental study confirmed the adequacy of the constructed model and theeffectiveness of its application for the purpose of express analysis of geophysical data and for making decisionson geological prospecting tasks.Keywords: ring structures, areal geophysics, hierarchical model, artificial neural network, Kohonen map,fuzzy logic, cluster analysis, Norilsk region
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Ring Structures of the Norilsk Metallogenic Region: Evidence from Neural Network Analysis of Areal Geophysical Dataстатья