Technogenic Reservoirs Resources of Mine Methane When Implementing the Circular Waste Management Concept

From a commercial viewpoint, mine methane is the most promising object in the field of reducing emissions of climate-active gases due to circular waste management. Therefore, the task of this research is to estimate the technogenic reservoirs resources of mine methane when implementing the circular waste management concept. The novelty of the authors’ approach lies in reconstructing the response space for the dynamics of methane release from the front and cross projections: CH4 = ƒ(S; t) and CH4 = ƒ(S; L), respectively. The research established a polynomial dependence of nonlinear changes in methane concentrations in the mixture extracted by type 4 wells when a massif is undermined as a result of mining in a full-retreat panel. And the distance from the face to the start of mining the panel is reduced by 220 m. For this reason, the emission of mine methane, in case of degasification network disruption in 15 days, can amount to more than 660 thousand m3 only for wells of type no. 4.

Authors
Brigida Vladimir 1, 2 , Golik Vladimir Ivanovich3 , Voitovich Elena V.4 , Kukartsev Vladislav V.5, 6, 7 , Gozbenko Valeriy E.8, 9 , Konyukhov Vladimir Yu.10 , Oparina Tatiana A.10
Journal
Publisher
MDPI AG
Number of issue
2
Language
English
Pages
33
Status
Published
Volume
13
Year
2024
Organizations
  • 1 Laboratory of Mining Technical Systems Management, Research Institute of Comprehensive Exploitation of Mineral Resources of the Russian Academy of Sciences, 4 Kryukovskiy Tupik, 111020 Moscow, Russia
  • 2 Department of Biomedical, Veterinary and Ecological Directions, RUDN University, 117198 Moscow, Russia
  • 3 Department “Technique and Technology of Mining and Oil and Gas Production”, Moscow Polytechnic University, 33 B. Semenovskaya St., 107023 Moscow, Russia
  • 4 Department of Industrial and Civil Engineering, Moscow Polytechnic University, 107023 Moscow, Russia
  • 5 Department of Informatics, Institute of Space and Information Technologies, Siberian Federal University, 660041 Krasnoyarsk, Russia
  • 6 Department of Information Economic Systems, Institute of Engineering and Economics, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
  • 7 Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia
  • 8 Department of Organization of Transportation and Management on Motor Transport, Angarsk State Technical University, 665835 Angarsk, Russia
  • 9 Department of Mathematics, Irkutsk State Transport University, 664074 Irkutsk, Russia
  • 10 Department of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, Russia
Date of creation
18.03.2024
Date of change
18.03.2024
Short link
https://repository.rudn.ru/en/records/article/record/106567/
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