Modeling and prediction of ventilation methane emissions of U.S. longwall mines using supervised artificial neural networks
- 28 September 2007
- journal article
- Published by Elsevier
- Vol. 73 (3-4) , 371-387
- https://doi.org/10.1016/j.coal.2007.09.003
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Reservoir simulation-based modeling for characterizing longwall methane emissions and gob gas venthole productionInternational Journal of Coal Geology, 2007
- Estimation of gross calorific value of coals using artificial neural networksFuel, 2007
- Numerical analysis of the influence of in-seam horizontal methane drainage boreholes on longwall face emission ratesInternational Journal of Coal Geology, 2006
- Modelling of strata movement with a special reference to caving mechanism in thick seam coal miningInternational Journal of Coal Geology, 2006
- Gas emission prediction and recovery in underground coal minesPublished by Elsevier ,1998
- Measuring the gas content of coal: A reviewPublished by Elsevier ,1998
- Control of gas emissions in underground coal minesPublished by Elsevier ,1998
- Status of worldwide coal mine methane emissions and useInternational Journal of Coal Geology, 1998
- Stratigraphy and structure of coalbed methane reservoirs in the United States: An overviewInternational Journal of Coal Geology, 1998
- Methodology of coalbed methane resource assessmentInternational Journal of Coal Geology, 1998