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Results 1 - 10 of 65
3/1/2012 - Peer reviewed journal articlesThe CART-based model that is given in this paper can be used to predict methane emission rates and to adjust operation parameters under ventilation constrains in longwall mining.
3/1/2010 - Peer reviewed journal articlesIn this paper, Computational Fluid Dynamics modeling of the effect of longwall face advance on the spontaneous heating of coals in a two-panel gob area using a bleeder ventilation system is presented.
Forecasting Gob Gas Venthole Production Performances Using Intelligent Computing Methods for Optimum Methane Control in Longwall Coal Mines9/1/2009 - Peer reviewed journal articlesIn this paper, the total gas flow rates and methane percentages from 10 GGVs were analyzed. The results showed that the two-hidden layer model predicted total production and the methane content of the GGVs with more than 90% accuracy.
7/1/2009 - Peer reviewed journal articlesThis paper discusses a study in which a three-dimensional CFD modeling of spontaneous heating of coal, based on the U.S. Bureau of Mines (USBM) large-scale coal chamber tests, was conducted.
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.
11/1/2008 - Peer reviewed journal articlesA computational fluid dynamics (CFD) study was conducted to model effects of coal properties on the potential for spontaneous heating in longwall gob (mined-out) areas.
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.
8/1/2008 - Peer reviewed journal articlesTo provide insights for the optimization of bleederless ventilation systems for U.S. underground coal mines, a computational fluid dynamics study was conducted to model spontaneous heating in longwall gob areas using a bleederless ventilation system.
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.
12/1/2007 - Peer reviewed journal articlesComputational Fluid Dynamics simulations were conducted to investigate the spontaneous heating of coals in longwall gob areas with different apparent activation energies and reaction surface areas. The results are reported in this paper.