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Stochastic modeling of gob gas venthole production performances in active and completed longwall panels of coal mines.

Authors
Karacan-C÷; Luxbacher-K
Source
Int J Coal Geol 2010 Nov; 84(2):125-140
NIOSHTIC No.
20037818
Abstract
Gob gas ventholes (GGVs) are an integral part of longwall coal mining operations, enhancing safety by controlling methane in underground workings. As in many disciplines in earth sciences, uncertainties due to the heterogeneity of geologic formations exist. These uncertainties, and the wide range of mining and venthole operation parameters, lead to performance variability in GGVs. Random variations in parameters affecting GGV performance and influencing parameters that cannot be quantified sufficiently due to lack of information limit deterministic GGV models and even introduce error in severe cases. Therefore, evaluation of GGV performance data and the uncertainty in input parameters is valuable for understanding the variability in GGV production and for designing them accordingly. This paper describes a practical approach for implementing stochastic determination of GGV production performances and for generalizing the prediction capability of deterministic models. Deterministic sitespecific models were derived by using the GGV module in the recently developed MCP (Methane Control and Prediction) software suite. These models were generated using multi-parameter regression techniques and were then improved by inclusion of extra input parameters that eliminated the site dependency and improved the predictions. Statistical distributions of input parameters in these models were quantified and tested with the Kolmogorov-Smirnov goodness-of-fit technique. Next, Monte Carlo simulations were performed using these distributions and generalized results for GGV performances were generated. The results of this work indicate that this approach is a promising method of representing the variability in GGV performances and to improve the limited and site-specific character of the deterministic models.
Keywords
Analytical-processes; Coal-mining; Control-technology; Engineering-controls; Equipment-design; Equipment-reliability; Exposure-assessment; Exposure-levels; Exposure-methods; Gases; Gas-filters; Mathematical-models; Mining-industry; Models; Quantitative-analysis; Statistical-analysis; Statistical-quality-control; Underground-mining; Ventilation; Ventilation-systems; Work-environment; Author Keywords: Gob gas ventholes; Stochastic modeling; Monte Carlo simulation; Longwall mining; Methane control
Contact
C. ÷zgen Karacan, NIOSH, Office of Mine Safety and Health Research, Pittsburgh, PA
CODEN
IJCGDE
CAS No.
74-82-8
Publication Date
20101101
Document Type
Journal Article
Email Address
cok6@cdc.gov
Fiscal Year
2011
NTIS Accession No.
NTIS Price
Issue of Publication
2
ISSN
0166-5162
NIOSH Division
OMSHR
Priority Area
Mining
Source Name
International Journal of Coal Geology
State
PA
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