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Mining Publication: Degasification System Selection for U.S. Longwall Mines Using an Expert Classification System
Keywords: Degasification Longwall mining Methane Numerical modeling Ventilation control
Original creation date: March 2009
Authors: C� Karacan
Peer Reviewed Journal Article - March 2009
Download PDF Document (0.42 MB)
NIOSHTIC2 Number: 20035027
Comput Geosci 2009 Mar; 35(3):515-526
Methane emissions from the active face areas and from the fractured formations overlying the mined coalbed can affect safety and productivity in longwall mines. Since ventilation alone may not be sufficient to control the methane levels on a longwall operation, gob vent boreholes (GVB), horizontal and vertical drainage boreholes, and their combinations are drilled and used as supplementary methane control measures in many mines. However, in most cases, the types of degasification wellbores chosen are decided based on previous experiences without analyzing the different factors that may affect this decision. This study describes the development of an expert classification system used as a decision tool. It was built using a multilayer perceptron (MLP) type artificial neural network (ANN) structure. The ANN was trained using different geographical locations, longwall operation parameters, and coalbed characteristics as input and was tested to classify the output into four different selections, which are actual degasification designs that US longwall mines utilize. The ANN network selected no degasification, GVB, horizontal and GVB, and horizontal, vertical and GVB options with high accuracy. The results suggest that the model can be used as a decision tool for degasification system selection using site- and mine-specific conditions. Such a model can also be used as a screening tool to decide which degasification design should be investigated in detail with more complex numerical techniques.
Image of publication Degasification System Selection for U.S. Longwall Mines Using an Expert Classification SystemPeer Reviewed Journal Article - March 2009
Download PDF Document (0.42 MB)
NIOSHTIC2 Number: 20035027
Comput Geosci 2009 Mar; 35(3):515-526
See Also
Advances in Grid-Based Numerical Modeling Techniques for Improving Gas Management in Coal Mines
Artificial Neural Networks to Determine Ventilation Emissions and Optimum Degasification Strategies for Longwall Mines
A CART Technique to Adjust Production from Longwall Coal Operations under Ventilation Constraints
Coal Bed Discontinuity Effects on the Production of Degasification Boreholes and on Emissions During Longwall Mining
Methane Drainage and Migration
Modeling and Prediction of Ventilation Methane Emissions of U.S. Longwall Mines Using Supervised Artificial Neural Networks
A Numerical Evaluation on the Effects of Impermeable Faults on Degasification Efficiency and Methane Emissions During Underground Coal Mining
Predicting Methane Emissions from Longer Longwall Faces by Analysis of Emission Contributors
Stochastic Modeling of Gob Gas Venthole Production Performances in Active and Completed Longwall Panels of Coal Mines
Technology News 448 - Improving the Performance of Longwall Gob Gas Ventholes
Underground Gob Gas Drainage During Longwall Mining
Page last reviewed: September 20, 2012
Page last updated: September 20, 2012
Content source: National Institute for Occupational Safety and Health, Mining Program
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