Recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwalls

The article describes the recommended procedure for conducting methane forecasts and selection of the methane prevention measures that adequately reflect the level of risk of methane combustion and explosion. The appropriate selection of measures to prevent methane exposure can be effective at mitig...

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Main Authors: Niewiadomski A.P., Badura H., Pach G.
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_08001.pdf
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spelling doaj-0bd89833c0984cae8f33968db95ace922021-06-11T07:19:05ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012660800110.1051/e3sconf/202126608001e3sconf_ti2021_08001Recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwallsNiewiadomski A.P.Badura H.Pach G.The article describes the recommended procedure for conducting methane forecasts and selection of the methane prevention measures that adequately reflect the level of risk of methane combustion and explosion. The appropriate selection of measures to prevent methane exposure can be effective at mitigating the exposure risk of the miners and other mine employees. Implementation of these measures can have the additional benefit of increasing mine output and efficiency. For example, prediction of methane concentrations can reduce the instances of unplanned equipment downtime to maintain mine safety and integrity. The presented procedure is the culmination of extensive research on three predictive models of short-term average methane concentrations. Identifying the advantages and disadvantages of the models became possible by verifying the models against a nearly 500-day dataset obtained from 7 longwalls with identified significant methane content. Furthermore, selected studies were presented based on one of the datasets obtained from the U-ventilated longwall.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_08001.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Niewiadomski A.P.
Badura H.
Pach G.
spellingShingle Niewiadomski A.P.
Badura H.
Pach G.
Recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwalls
E3S Web of Conferences
author_facet Niewiadomski A.P.
Badura H.
Pach G.
author_sort Niewiadomski A.P.
title Recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwalls
title_short Recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwalls
title_full Recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwalls
title_fullStr Recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwalls
title_full_unstemmed Recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwalls
title_sort recommendations for methane prognostics and adjustment of short-term prevention measures based on methane hazard levels in coal mine longwalls
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description The article describes the recommended procedure for conducting methane forecasts and selection of the methane prevention measures that adequately reflect the level of risk of methane combustion and explosion. The appropriate selection of measures to prevent methane exposure can be effective at mitigating the exposure risk of the miners and other mine employees. Implementation of these measures can have the additional benefit of increasing mine output and efficiency. For example, prediction of methane concentrations can reduce the instances of unplanned equipment downtime to maintain mine safety and integrity. The presented procedure is the culmination of extensive research on three predictive models of short-term average methane concentrations. Identifying the advantages and disadvantages of the models became possible by verifying the models against a nearly 500-day dataset obtained from 7 longwalls with identified significant methane content. Furthermore, selected studies were presented based on one of the datasets obtained from the U-ventilated longwall.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_08001.pdf
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