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2020 | 3(1) Selected Aspects of Production Engineering in Management and Materials Engineering | 169-185
Tytuł artykułu

One-Day Prognoses of Methane Concentrations for the 102 Longwall in the 325/1 Seam in the "W" Coal Mine Operating in a Continuous System

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The first part of the paper concerns the natural deposition conditions of the 325/1 seam in the "W" coal mine, in the 102 longwall mining panel. It also presents the most important technical conditions regarding the exploitation at this longwall. To characterize the methane hazard in the longwall area, the parameters of ventilation and total methane concentrations as well as the volumetric flowrate of methane captured by the methane removal system, have been presented graphically. A significant part of the methane flow in the longwall area was released to the air flowing to the longwall. The most significant part of the article is the presentation and analysis of the results of prognoses of mean methane concentrations at the exhaust of the longwall area. The accuracy of the prognoses of methane concentration was verified using two methods: while not considering the release of methane to the air flowing to the longwall and while considering the total flowrate of methane to the ventilation air in the area of the 102 longwall. The method of forecast presented in the article has so far been checked for a 5-day and 6-day work day, as well as for walls operating in a non-regular mode. The article refers to the wall operating in a continuous mode, which required adaptation of the proposed method to this mode. The application of the one-day forecast proposed in the article allows for undertaking temporary methane prevention measures enabling safe use of the wall. (original abstract)
Twórcy
  • Silesian University of Technology
  • Sliesian University of Technology, Poland
  • Kalashnikov Izhevsk State Technical University, Izhevsk, Russian Federation
  • Kalashnikov Izhevsk State Technical University, Izhevsk, Russian Federation
  • Kalashnikov Izhevsk State Technical University, Izhevsk, Russian Federation
Bibliografia
  • Badura, H., (2004). Simulación de la emisión de metano en un tajo de carbón mediante un modelo matemático. Ingeopres: Actualidad técnica de ingeniería civil, minería, geología y medio ambiente, p. 132.
  • Badura, H., Jakubów, A., (2007). In Polish: Implementation of a short-term methane forecast of wall regions in the mines of Jastrzębska Spółka Węglowa S.A. Kwartalnik Prace Naukowe GIG. Wydanie specjalne, II.
  • Badura, H., (2013). In Polish: Methods of forecasting short-term methane concentrations at the outlets from areas of attack walls in hard coal mines. Wydawnictwo Politechniki Śląskiej. Monografia, p. 466.
  • Badura, H., Bąk, L., Kępiński, A., (2015). In Polish: Verification of a one-day forecast of methane concentration at the outlet from the area of wall 7 in seam 409 in KWK "Wujek" Ruch Śląsk, 8 Szkoła Aerologii Górniczej. Jaworze, October, pp. 13-16.
  • Badura, H., Szczęsny, K., (2016). In Polish: a One-day forecast of the average methane concentration at the outlet from the area of the wall operating in the system of a six-day working week. Przegląd Górniczy, 4.
  • Bibler, C.J., Marshall, j.s., Pilcher, R.C., Status of wordwide coal methane emission and use. International Journal of Coal Geology 35, pp. 283-310.
  • Flores, R.M., (1998). Coalbed methane, from hazard to resource. International Journal of Coal Geology 35, pp. 3-26.
  • Karacan, C.Ӧ., (2008). Modeling and prediction of ventilation methane emissions of US. Longwall mines using supervised artificial neural networks. Internattional Journal of Coal Geology 73, pp. 371-387.
  • Karacan C.Ö. (2009). Forecasting gob gas venthole production using intelligent computing methods for optimum methane control in longwall coal mines. International Journal of Coal Geology 79(4), pp. 131-144.
  • Karacan, C.Ӧ., et al., (2011). Coal mine methane: A review of capture and utilization practices with benefits to mining safety and greenhose gas reduction. International Journal of Coal Geology 86, pp. 121-156.
  • Lunarzewski, L.W., (1998). Gas emission prediction and recovery in undeground coal mines. International Journal of Coal Geology 35, pp. 117-145.
  • Mishra D., Panigrahi D., Kumar P. (2018). Computational investigation on effects of geo-mining parameters on layering and dispersion of methane in underground coal mines- A case study of Moonidih Colliery. Journal of Natural Gas Science and Engineering 53, pp. 110-124.
  • Niewiadomski A.P., Badura H. (2019). Evaluation of a one-day average methane concentrations forecast at the outlet from the longwall ventilation region as tool of supporting selection of methane prevention measures. Topical Issues of Rational Use of Natural Resources, Volume 1.
  • Noack, K., (1998). Control of gas emissions in underground coal mines. Internattional Journal of Coal Geology 35, pp. 57-82.
  • Shi L., Wang J., Zhang G., Cheng X., Zhao X. (2017). A risk assessment method to quantitatively investigate the methane explosion in underground coal mine. Process Safety and Environmental Protection, 107, pp. 317-333.
  • Ślęzak D,. Grzegorowski M., Janusz A., Kozielski M., Nguyen SH., Sikora M., Stawicki S., Wróbel Ł. (2018): A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. Information Sciences pp. 451-452, pp. 112-133.
  • The US. EPA, (2009). Identifying Opportunities for Methane Recoveryat US. Coal Mines: Profiles of Selected Gassy Underground Coal Mines 2002-2006. U.S. Environmental Protection Agency. EPA 430-K-04-003.
  • Zawadzki J., Fabijańczyk P., Badura H., (2013). Estimation of methane content in coal mines using supplementary physical measurements and multivariable geostatistics. International Journal of Coal Geology 118, pp. 33-40.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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