Modify Selection
- Hazard prevention and control:
- Methane control
- Document types:
- Peer reviewed journal articles
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Results 1 - 6 of 6
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2/1/2008 - Peer reviewed journal articlesThis study proposes a principal component analysis (PCA) and artificial neural network (ANN)-based approach to predict the ventilation methane emission rates of U.S. longwall mines.
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11/1/2007 - Peer reviewed journal articlesUsing coalbed methane reservoir modeling and an artificial neural network (ANN) design for prediction and optimization of methane inflows and ventilation air requirements to maintain methane concentrations below statutory limits.
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3/1/2017 - Peer reviewed journal articlesThis article by NIOSH investigates the impact of water flow from an external source into coalbed on production performance and also on reservoir variables.
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3/1/2009 - Peer reviewed journal articlesThis study presents reservoir and elastic properties of coal measure rocks in the Lower Monongahela Group in Greene County, southwestern Pennsylvania, with results that can be used as data sources for reservoir studies related to methane control.
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9/1/2008 - Peer reviewed journal articlesThis study presents a reservoir modeling approach to investigate the relative effects of different coalbed parameters on the migration of methane into development entries, and shows that this technique can be applicable to different coalbeds.
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6/1/2008 - Peer reviewed journal articlesThis article describes the Coal Dust Explosibility Meter (CDEM), a hand-held instrument developed by NIOSH, which uses optical reflectance to measure the explosibility of a rock dust and coal dust mixture, which is now commercially available.
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Content source: National Institute for Occupational Safety and Health, Mining Program