A New Methane Control and Prediction Software Suite for Longwall Mines

Details

• Personal Author:
  Dougherty, Heather N. ; Karacan, C. Özgen
• Description:
  This paper presents technical and application aspects of a new software suite, MCP (Methane Control and Prediction), developed for addressing some of the methane and methane control issues in longwall coal mines. The software suite consists of dynamic link library (DLL) extensions to MS-AccessTM, written in C++. In order to create the DLLs, various statistical, mathematical approaches, prediction and classification artificial neural network (ANN) methods were used. The current version of MCP suite (version 1.3) discussed in this paper has four separate modules that (a) predict the dynamic elastic properties of coal-measure rocks, (b) predict ventilation emissions from longwall mines, (c) determine the type of degasification system that needs to be utilized for given situations and (d) assess the production performance of gob gas ventholes that are used to extract methane from longwall gobs. These modules can be used with the data from basic logs, mining, longwall panel, productivity, and coal bed characteristics. The applications of these modules separately or in combination for methane capture and control related problems will help improve the safety of mines. The software suite's version 1.3 is discussed in this paper. Currently, it's new version 2.0 is available and can be downloaded from https://www.cdc.gov/niosh/mining/works/coversheet1805.html free of charge. The models discussed in this paper can be found under ''ancillary models'' and under ''methane prediction models'' for specific U.S. conditions in the new version. [Description provided by NIOSH]
• Subjects:
  Coal Coal Mining Computers Explosions Fires Geology Methane Mining Occupational Health Safety Software Ventilation

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• Keywords:
  Artificial Neural Networks Author Keywords: Methane Control Coal-gas Coal-mining Computer-equipment Computer-models Computer-software Control-equipment Control-methods Control-systems Control-technology Degasification Systems Dynamic-structural-analysis Elastic-properties Emission-sources Explosion-prevention Fire-hazards Fire-prevention Gas-indicators Gases Geophysics Information-systems Longwall-mining Longwall Mines Mathematical-models Methane-control Methanes Mine-gases Mining-industry Rock-mechanics Rock Elastic Properties Statistical-analysis Underground-mining Ventilation-systems Ventilation Emissions

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• Series:
  Mining Publications
• ISSN:
  0098-3004
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  OMSHR - Office of Mine Safety and Health Research
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  37
• Issue:
  9
• NIOSHTIC Number:
  nn:20039497
• Citation:
  Comput Geosci 2011 Sep; 37(9):1490-1500
• Contact Point Address:
  H.N. Dougherty, National Institute for Occupational Safety and Health, Office of Mine Safety and Health Research, 626 Cochrans Mill Road, Pittsburgh, PA 15236, USA
• Email:
  igq0@cdc.gov
• CAS Registry Number:
  Methane (CAS RN 74-82-8)
• Federal Fiscal Year:
  2011
• NORA Priority Area:
  Mining
• Peer Reviewed:
  True
• Source Full Name:
  Computers & Geosciences
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:ea96d3186e4ef76ecb4450b28dafd14dfd3b52f00ef14baa2328223056bb03625116fd06305ad179bbeb213241d73332b1b79c7df81f4c9aab12ec73475bdd14
• Download URL:
  https://stacks.cdc.gov/view/cdc/227359/cdc_227359_DS1.pdf
• File Type:
  [PDF - 2.15 MB ]