Substantiation of Drilling Parameters for Undermined Drainage Boreholes for Increasing Methane Production from Unconventional Coal-Gas Collectors

Decarbonization of the mining industry on the basis of closing the energy generation, on the basis of cogeneration of coal mine methane, and on the internal consumption of the mine is a promising direction in ensuring sustainable development. Known problems of deep underground mining do not allow for realizing the potential of man-made gas reservoirs due to the deterioration of the conditions of development of reserves of georesources. The aim of the work was to improve recommendations for the substantiation of drilling parameters for undermined drainage boreholes for increasing methane production from unconventional coal-gas collectors. The authors’ approach innovation lies in the possibility of using the established patterns of better natural stability of undermined boreholes to optimize them as spatial orientation parameters in an existing drilling passport for the improvement of methane extraction productivity. For this purpose, smoothing (LOESS) of the experimental data of two similar types of wells was used; then deterministic interpolation methods in combination with a three-dimensional representation of the response function in “gnuplot” were used. As a result, it was found that the increase in the inclination angle from 40° to 60° leads to a significant transformation of the model of the studied process, accompanied by a decline in the dynamics of methane emission and a decrease in the distance of the productive work zone of this type of well from 13 to 5 m before the roof landing, which then is replaced by a sharp increase in the productive work zone up to 35 m ahead of the longwall face. This allows under specific conditions for recommending increasing the productivity of methane capex from technogenic disturbed coal-gas reservoir replacement of wells with a smaller angle of rise to the transition to a more frequent grid of clusters from wells #4.

Authors
Malozyomov Boris V.1 , Golik Vladimir Ivanovich2 , Brigida Vladimir 3, 4 , Kukartsev Vladislav V.5, 6, 7 , Tynchenko Yadviga A.8, 9 , Boyko Andrey A.7, 10, 11 , Tynchenko Sergey V.12, 13
Journal
Publisher
MDPI AG
Number of issue
11
Language
English
Pages
4276
Status
Published
Volume
16
Year
2023
Organizations
  • 1 Department of Electrotechnical Complexes, Novosibirsk State Technical University, 20, Karla Marksa Ave., Novosibirsk 630073, Russia
  • 2 Department “Technique and Technology of Mining and Oil and Gas Production”, Moscow Polytechnic University, 38, B. Semenovskaya St., Moscow 107023, Russia
  • 3 Department of Biomedical, Veterinary and Ecological Directions, RUDN University, 6, Miklukho-Maklaya St., Moscow 117198, Russia
  • 4 Federal Research Centre the Subtropical Scientific Centre of the Russian Academy of Sciences, Sochi 354002, Russia
  • 5 Department of Information Economic Systems, Institute of Engineering and Economics, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia
  • 6 Department of Informatics, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk 660041, Russia
  • 7 Digital Material Science: New Materials and Technologies, Bauman Moscow State Technical University, Moscow 105005, Russia
  • 8 Laboratory of Biofuel Compositions, Siberian Federal University, Krasnoyarsk 660041, Russia
  • 9 Department of Systems Analysis and Operations Research, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia
  • 10 Department of Technological Machines and Equipment of Oil and Gas Complex, School of Petroleum and Natural Gas Engineering, Siberian Federal University, Krasnoyarsk 660041, Russia
  • 11 Department of Management, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia
  • 12 Department of Digital Control Technologies, Institute of Business Process Management, Siberian Federal University, Krasnoyarsk 660041, Russia
  • 13 Department of Computer Science and Computer Engineering, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia
Keywords
coalbed methane; longwall; gas flow modeling; mining industry decarbonization
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