UDC553.94; 550.8.04: 550.832
https://doi.org/10.26516/2541-9641.2025.1.7
EDN: BLSTPQ
Statistical Physico-geological Model of the Solntsevo Coal Deposit (Island Sakhalin) According to the Data of Geophysical Well Surveys
S.V. Snopkov1,2, N.M. Maksimov1, S.S. Tokareva1
1Irkutsk State University, Irkutsk, Russia
2Irkutsk National Research Technical University, Irkutsk, Russia
Abstract. Geophysical studies of wells are the main method of extracting coal seams when studying a geological section. Using the example of the Solntsevsky coal deposit, the effectiveness of using statistical analysis in interpreting geophysical data is shown. The statistical processing of the data made it possible to more correctly identify the petrophysical complexes represented in the geological section. The formed statistical physico-geological model of the geological section of the deposit allowed us to recommend additional ways of interpreting the geophysical data.
Keywords: coal deposits, geophysical studies of wells, statistical analysis, petrophysical complex, physico-geological model, statistical methods of interpretation of geophysical data
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Snopkov Sergey Viktorovich,
Candidate of Geological and Mineralogical Sciences, Associate Professor,
Karl Marx st., 1, Irkutsk, 664003, Russia,
Irkutsk State University,
Associate Professor,
91 Lermontov st., Irkutsk, 664033, Russia,
Siberian School of Geosciences, Irkutsk National Research Technical University,
Researcher,
email: snopkov_serg@mail.ru
Maksimov Nikita Mikhailovich,
graduate of the ISU Master's degree program,
Karl Marx st., 1, Irkutsk, 664003, Russia,
Irkutsk State University,
email: nikitajr01@mail.ru
Tokareva Svetlana Sergeevna,
Karl Marx st., 1, Irkutsk, 664003, Russia,
Irkutsk State University,
Senior lecturer,
email: tokareva_ss@mail.ru
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Article received: 23.01.2025; corrected: 12.02.2025; accepted: 14.02.2025.
Snopkov S.V., Maksimov N.M., Tokareva S.S. Statistical physico-geological model of the Solntsevo coal deposit (Island Sakhalin) according to the data of geophysical well surveys // Geology and Environment. 2025. Т. 5, No 1. P. 7–22. DOI 10.26516/2541-9641.2025.1.7. EDN: BLSTPQ
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