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Results 31 - 40 of 111
Development of Multiple Regression Functions for Performance Prediction of Gob Gas Ventholes for Sealed and Active Longwall Mines2/1/2010 - Conference papersA discussion of the NIOSH-developed software suite for methane control and prediction (MCP) based on an artificial neural network (ANN) is presented in this paper.
1/1/2010 - Conference papersThis paper discusses several milestone events that show the progress of methane control research in underground coal mines.
Reservoir Rock Properties of Coal Measure Strata of the Lower Monongahela Group, Greene County (Southwestern Pennsylvania), from Methane Control and Production Perspectives3/1/2009 - Peer reviewed journal articlesThis study presents reservoir and elastic properties of coal measure rocks in the Lower Monongahela Group in Greene County, southwestern Pennsylvania, with results that can be used as data sources for reservoir studies related to methane control.
11/1/2008 - Conference papersThis work by NIOSH has modelled the impacts of borehole pattern and design and the effects of increasing face length on gob gas venthole performance.
Coal Bed Discontinuity Effects on the Production of Degasification Boreholes and on Emissions During Longwall Mining10/1/2008 - Conference papersThis study presents a numerical investigation of geological discontinues in the coalbed using reservoir simulations of the effects of partings and permeability facies and lithotype changes on the production performances of vertical and horizontal degasi...
Evaluation of the Relative Importance of Coalbed Reservoir Parameters for Prediction of Methane Inflow Rates During Mining of Longwall Development Entries9/1/2008 - Peer reviewed journal articlesThis study presents a reservoir modeling approach to investigate the relative effects of different coalbed parameters on the migration of methane into development entries, and shows that this technique can be applicable to different coalbeds.
This paper summarizes the modeling efforts conducted by NIOSH in the U.S. and CSIRO in Australia to address various gas management issues encountered in longwall mines using the application of computational fluid dynamics (CFD) and numerical reservoir m...
This paper describes research conducted to compare the performance, including response time and accuracy, of selected instruments using infrared and catalytic sensors.
6/1/2008 - Peer reviewed journal articlesThis article describes the Coal Dust Explosibility Meter (CDEM), a hand-held instrument developed by NIOSH, which uses optical reflectance to measure the explosibility of a rock dust and coal dust mixture, which is now commercially available.
Artificial Neural Networks to Determine Ventilation Emissions and Optimum Degasification Strategies for Longwall MinesThis study proposes a principle component analysis (PCA) and artificial neural network (ANN) approach to predict the ventilation methane emission rates of U.S. longwall mines and the optimum combination of degasification boreholes based on the given cha...