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Results 1 - 10 of 56
6/1/2010 - Conference papersThis paper presents a mathematical model based on the conservation of mass principle describing the flow of air (nitrogen and oxygen), methane, and carbon dioxide into and out of a sealed atmosphere and time-dependent changes in gas concentration.
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.
1/17/2020 - Research areasMethane is an odorless, tasteless, colorless, lighter-than-air gas formed by the decomposition of organic and other carbonaceous materials. From 5% to 15% can form an explosive mixture which, if ignited, can have catastrophic consequences.
11/5/2014 - Contracts and cooperative agreementsA capacity-building contract focused on developing practical mine ventilation engineering tools for safe and effective massive underground mining operations.
3/4/2014 - Contracts and cooperative agreementsA contract to evaluate the role of gas desorbing on the failure of coal and the resultant influence on dynamic failures such as bumps, bursts, and outbursts.
1/22/2013 - Conferences, workshops, and seminarsWorkshop on Practical Strategies and Technologies to Reduce Miners Exposure to Diesel Particulate Matter and Gases sponsored by the Nevada Mining Association, NIOSH, and the Mine Safety and Health Administration
Workshop on Practical Strategies and Technologies to Reduce Miners Exposure to Diesel Particulate Matter and Gases sponsored by the Nevada Mining Association, NIOSH, and the Mine Safety and Health Administration.
9/1/2011 - Peer reviewed journal articlesThis 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.
Probabilistic Modeling Using Bivariate Normal Distributions for Identification of Flow and Displacement Intervals in Longwall Overburden1/1/2011 - Peer reviewed journal articlesGob gas ventholes capture methane emissions. This study used bivariate normal distributions to determine the conditional probabilities of depth-displacement, depth-flow percentage, depth-formation, and depth-gas content of the overburden formations.
6/1/2010 - Conference papersThis paper provides an overview of what effects the different exhaust aftertreatment technologies and control strategies available to the mining industry have on the NO2 emissions. Specific focus is given to their effect on the ventilation st...