2023
DOI: 10.3390/en16114276
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Substantiation of Drilling Parameters for Undermined Drainage Boreholes for Increasing Methane Production from Unconventional Coal-Gas Collectors

Abstract: 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 o… Show more

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Cited by 54 publications
(27 citation statements)
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“…This holistic strategy, entwining advanced forecasting methodologies with vigilant anomaly surveillance, bolsters the system's resilience against unforeseen occurrences in subterranean mining activities. Simultaneously contrasted with various anomaly detection algorithms, in the depicted figure, red dots represent anomalies detected via fuzzy C-means clustering [33], while green dots denote anomalies monitored through b-splines regression [34]. The range of detection by the fuzzy C-means clustering algorithm is noted to be excessively dense.…”
Section: Unsupervised Time-series Warning Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…This holistic strategy, entwining advanced forecasting methodologies with vigilant anomaly surveillance, bolsters the system's resilience against unforeseen occurrences in subterranean mining activities. Simultaneously contrasted with various anomaly detection algorithms, in the depicted figure, red dots represent anomalies detected via fuzzy C-means clustering [33], while green dots denote anomalies monitored through b-splines regression [34]. The range of detection by the fuzzy C-means clustering algorithm is noted to be excessively dense.…”
Section: Unsupervised Time-series Warning Modelmentioning
confidence: 99%
“…Sensors 2024, 24, x FOR PEER REVIEW 20 o detected via fuzzy C-means clustering [33], while green dots denote anomalies monito through b-splines regression [34]. The range of detection by the fuzzy C-means cluste algorithm is noted to be excessively dense.…”
Section: Unsupervised Time-series Warning Modelmentioning
confidence: 99%
“…EOR should be less and correspond less to its original definition as tertiary mining methods and more as high-tech technologies [182][183][184].…”
Section: World Experience In Using Mip and Eormentioning
confidence: 99%
“…Using all the data obtained above, we performed a simulation, the purpose of which was to identify the optimal combination of the proposed equipment based on the use of the system for 20 years [47,48].…”
Section: Simulations In Homermentioning
confidence: 99%