Empowering geological data analysis with specialized software GIS modules
Baigereyev D. Kasenov S. Temirbekova L.
June 2024Institute of Advanced Engineering and Science
Indonesian Journal of Electrical Engineering and Computer Science
2024#34Issue 31953 - 1964 pp.
This research is devoted to the development of a geographic information system (GIS) for the analysis of geological data. It presents two specialized software modules designed to solve complex geological problems related to potential progress to disturbed masses and magnetotelluric sounding. These modules are integrated into the QGIS environment, offering efficient data processing and analysis capabilities, contributing to a deeper understanding of geological structures. The study presents a mathematical model for the problem of magnetotelluric sounding (MTS) and the continuation of potentials towards the perturbed masses, demonstrating numerical results using the developed algorithm. To confirm the accuracy of the model, a comparative analysis was carried out with empirical data for various chemical elements, which showed high accuracy, especially at shallow depths, with an error rate of less than 2%. In addition, the study highlights the importance of powerful GIS for the analysis and interpretation of geological data, including geochemical, geophysical and remote sensing information. The advanced functionality of QGIS simplifies data processing and visualization, which makes it an invaluable tool for geologists and researchers.
Database management system , Geoinformation system module , Inverse problems , Magnitotelluric sounding , Mathematical model
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National Engineering Academy of RK, Almaty, Kazakhstan
Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk, Kazakhstan
Department of Computational Sciences and Statistics, Faculty of Mechanics and Mathematics, Al-Farabi Kazakh National University, Almaty, Kazakhstan
Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
National Engineering Academy of RK
Sarsen Amanzholov East Kazakhstan University
Department of Computational Sciences and Statistics
Abai Kazakh National Pedagogical University
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