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Results 11 - 20 of 231
3/1/2009 - Peer reviewed journal articlesThis study describes the development of an expert classification system used as a decision tool which can be used for degasification system selection using site- and mine-specific conditions.
2/1/2009 - Conference papersThis paper describes the effort to create a reliable in-mine mobile plant for extracting nitrogen gas from the mine atmosphere. The gas produced by this novel technology can be used to create an inert environment in sealed mine areas.
12/1/2008 - Peer reviewed journal articlesThis paper discusses methods of preventing CO migration, lessening migrated CO, and detecting CO in underground enclosed spaces and may help reduce exposure of area residents to CO and help prevent unnecessary regulations and blasting limitations.
A Numerical Evaluation on the Effects of Impermeable Faults on Degasification Efficiency and Methane Emissions During Underground Coal Mining9/1/2008 - Peer reviewed journal articlesThis study uses reservoir simulations to illustrate the effects of impermeable faults on the production performance of vertical and horizontal degasification boreholes.
The Borehole Monitoring Experiment: Field Measurements of Reservoir Conditions and Responses in Longwall Panel Overburden During Active Mining6/1/2008 - Conference papersThis paper describes the results of a NIOSH borehole monitoring experiment (BME) on an active longwall panel.
In this report, several practical guidelines are recommended for controlling longwall coalbed methane. All predictions are based on determinations made for the Pittsburgh Coalbed in southwestern Pennsylvania.
Modeling and Prediction of Ventilation Methane Emissions of U.S. Longwall Mines Using Supervised Artificial Neural Networks2/1/2008 - 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.
Development and Application of Reservoir Models and Artificial Neural Networks for Optimizing Ventilation Air Requirements in Development Mining of Coal Seams11/1/2007 - 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.
Threshold Powers and Delays for Igniting Propane and Butane-Air Mixtures by CW Laser-heated Small Particles11/1/2006 - Peer reviewed journal articlesNIOSH researchers studied laser safety in potentially flammable environments. Researchers measured threshold igniting powers as a function of beam diameter for butane and propane-air mixtures by laser-heating targets placed on optical fiber tips.
Methane-Air Mixtures Ignited by CW Laser-Heated Targets on Optical Fiber Tips: Comparison of Targets, Optical Fibers, and Ignition Delays9/1/2006 - Peer reviewed journal articlesResearchers conducted experiments to estimate the mean and standard deviation of laser powers needed to ignite 6% methane-air atmospheres using single-mode optical fiber tips covered by two types of iron oxide mixed with a ceramic adhesive.