Numerical simulation of inverse geochemistry problems by regularizing algorithms
Temirbekov N. Imangaliyev Y. Baigereyev D. Temirbekova L. Nurmangaliyeva M.
2022Cogent OA
Cogent Engineering
2022#9Issue 1
Currently, methods and approaches of scientific visualization based on additional data analysis are being intensively developed due to the rapid development of computer technology in geology. The general concept is that the main data field on the day surface and additional conditions are specified at the input. Further, the methods of mathematical geophysics are used for their analysis and processing, as a result of which new information is obtained for deep exploration. Then visualization tools are applied to the obtained information and main data field in an information system. Thus, the information system is based on the synthesis of visual representation methods, methods of mathematical geophysics, computational mathematics, and various branches of science. This paper presents a description of the geoinformation system module for deep forecast search modeling of deposits developed on the base of the methods of intelligent anomalies detection of hidden deposits. Operation of the software module is based on the application of the theory of mathematical geophysics inverse problems using geological data on the Earth’s surface, geophysical measurements and geochemical analyses as input data. The software module for the inverse problem of the continuation of potential fields in the direction of perturbing masses is used for real data of a particular mineral deposit.
comprehensive forecast mineragenic model , conjugate integral equation , Fredholm integral equation of the first kind , inverse problem of magnetotelluric sounding , inverse problem of the potential fields continuation in the direction of perturbing masses , module of the geoinformation system , regularization method for inverse problems , software suite , two-dimensional Fredholm integral equation of the first kind
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National Engineering Academy of the Republic of Kazakhstan, Almaty, Kazakhstan
Faculty of natural science and technology of Sarsen Amanzholov University, Ust-Kamenogorsk, Kazakhstan
Department of Informatics and Informatization of Education of Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
Faculty of basic engineering training of D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, Kazakhstan
National Engineering Academy of the Republic of Kazakhstan
Faculty of natural science and technology of Sarsen Amanzholov University
Department of Informatics and Informatization of Education of Abai Kazakh National Pedagogical University
Faculty of basic engineering training of D. Serikbayev East Kazakhstan Technical University
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