Justification of design solutions as applicable to diversification of the main activities of coal mines

DOI: https://doi.org/10.30686/1609-9192-2025-6-58-62

Читать на русскоя языке V.V. Agafonov1, O.Y. Kozlova2
1  National University of Science and Technology “MISIS”, Moscow, Russian Federation
2  MIREA – Russian Technological University, Moscow, Russian Federation
Russian Mining Industry №5S/ 2025 p. 58-62

Abstract: The article highlights the urgent need for transformation and diversification of the main activities of coal mines, involving introduction of cogeneration and trigeneration technological platforms into their functional structure, with the provision of resources such as methane gas, which is an integral part of the coal mining process. Implementation of such technologies in the production and economic cycle of coal mining companies allows creation of additional value chains in the technological and economic model of improving their technical and economic efficiency. A block of scientific and methodological as well as corresponding algorithmic support is proposed for the developed conceptual components, which is based on the use of optimization geological and hydrodynamic model representations of the Shlumberge Petrel, Tempest Roxar, and Micromine software suites, which implements a procedure for calculating the volume of methane resources used, justifying the individual components of hydro-dissection technological platforms, and selecting technological modifications and design solutions for methane extraction wells. The applied software configuration tools are based on the Langmuir sorption isotherm, which allows for the construction of a series of grids with dynamic saturation.

Keywords: coal mine, diversification, methane resources, cogeneration, trigeneration, value chain, thermal energy platforms

For citation: Agafonov V.V., Kozlova O.Y. Justification of design solutions as applicable to diversification of the main activities of coal mines. Russian Mining Industry. 2025;(6):58–62. (In Russ.) https://doi.org/10.30686/1609-9192-2025-6-58-62


Information about the article

Received: 09.09.2025

Revised: 27.10.2025

Accepted: 14.11.2025


Information about the authors

Valery V. Agafonov – Dr. Sci. (Eng.), Professor, Department of Geotechnology of Subsurface Development at the Mining Institute, National University of Science and Technology “MISIS”, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Olga Yu. Kozlova – Cand. Sci. (Eng.), Associate Professor, Department of Higher Mathematics-3, a MIREA – Russian Technological University, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


References

1. Zhang L., Ponomarenko T.V., Sidorov D.V. Clean coal technologies with carbon capture, utilization and storage in China’s coal industry. Mining Informational and Analytical Bulletin. 2024;(2):105–128. (In Russ.). https://doi.org/10.25018/0236_1493_2024_2_0_105

2. Goosen E.V., Nikitenko S.M., Kagan E.S., Rada A.O., Nikitina O.I. Production chain transformation in the coal industry: engineering and organization. Mining Informational and Analytical Bulletin. 2023;(3):163–179. (In Russ.). https://doi.org/10.25018/0236_1493_2023_3_0_163

3. Sabbagan A., Frolov V.Ya., Kozhubaev Yu.N., Militsyn A.A., Ershov R.V. Methods of utilizing mine gases for producing electricity and heat. Izvestiya Tulskogo Gosudarstvennogo Universiteta. Tekhnicheskie Nauki. 2025;(2):97–109. (In Russ.).

4. Nepsha F.S., Voronin V.A., Liven A.S., Korneev A.S. Feasibility study of using cogeneration plants at Kuzbass coal mines. Journal of Mining Institute. 2023;259:141–150. https://doi.org/10.31897/PMI.2023.2

5. Khashman M.A., Shirazi H. 3D Geological Modeling with Petrel Software: Estimating Original Oil in Place of Lower Cretaceous Y-Formation: A Case Study in a Selected Oilfield. 25 September 2023, PREPRINT (Version 1). https://doi.org/10.21203/rs.3.rs-3345863/v1

6. Nosov A.P., Akhrem A.A., Rakhmankulov V.Z. Efficiency analysis of OLAP-data hypercube decomposition for exponential computational complexity methods. Mathematics and Mathematical Modelling. 2021;(3):29–45. (In Russ.).

7. Butyrskaya E.V. Graphical method for determining parameters of monolayer cluster adsorption. Uspekhi v Khimii i Khimicheskoy Tekhnologii. 2024;38(3):22–24. (In Russ.).

8. Oganesyan A.S., Agafonov V.V., Maskaev K.V., Bychkov A.S., Alimov V.A. Comparative analysis of different types of technical means for the implementation of cogeneration technologies in coal production. Ugol’. 2023;(5):96–98. (In Russ.). https://doi.org/10.18796/0041-5790-2023-5-96-98