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Original Paper

UDC 551.583; 662.764; 504.054 © O.V. Tailakov, S.V. Sokolov, E.A. Utkaev, D.S. Mikhalev, 2023

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2023, № 5, pp. 84-89

DOI: http://dx.doi.org/10.18796/0041-5790-2023-5-84-89




Tailakov O.V.1, Sokolov S.V.1, Utkaev E.A.1, Mikhalev D.S.1

1Federal Research Center for Coal and Coal Chemistry, Siberian Branch of the Russian Academy of Sciences, Kemerovo, 650000, Russian Federation

Authors Information

Tailakov O.V., Doctor of Engineering Sciences, Professor, Head of Laboratory of Coal methane extraction resources and technologies, Institute of coal, e-mail: oleg2579@gmail.com

Sokolov S.V., PhD (Engineering), Researcher, Institute of coal, e-mail: sokolovsviuu@bk.ru

Utkaev E.A., PhD (Engineering), Senior researcher, Institute of coal, e-mail: utkaev@mail.ru

Mikhalev D.S., Laboratory Assistant, Institute of coal, e-mail: mikhalev@mail.ru


The methodological approaches to the control of methane emission and increasing the reliability of its quantitative accounting in the coal mining industry of Kuzbass are considered. Algorithmic support of the estimation of the fugitive emissions of methane and carbon dioxide in surface and underground coal mining, as well as methane emissions from subsequent handling of underground coal is presented. The obtained results can be used to improve the efficiency of greenhouse gas emissions monitoring in the region and for the applying of the technologies for coal methane capturing and processing.


coal mining, coalmine methane, carbon dioxide, emission, greenhouse gases, digital platform, fugitive emissions


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The research was carried out as part of the Development and implementation of complex technologies in the areas of exploration and extraction of minerals, industrial safety, bioremediation, creation of new deep conversion products from coal raw materials while consistently reducing the environmental impact and risks to human lifeIntegrated Scientific and Technical Programme of the Full Innovation Cycle, approved by Order No. 1144-р of the Government of the Russian Federation dated May 11, 2022 (Agreement No. 075-15-2022-1196).

For citation

Tailakov O.V., Sokolov S.V., Utkaev E.A. & Mikhalev D.S. Algoritmic support of the digital platform for monitoring fugitive greenhouse gas emissions from coal mining. Ugol’, 2023, (5), pp. 84-89. (In Russ.). DOI: 10.18796/0041-5790-2023-5-84-89.

Paper info

Received April4, 2023

Reviewed April 15, 2023

Accepted April 27, 2023


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