An application of numerical methods to the prediction of strata methane flow in longwall mining

Ediz, I.G. (1991) An application of numerical methods to the prediction of strata methane flow in longwall mining. PhD thesis, University of Nottingham.

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This research describes an application of numerical methods for the prediction of strata methane flow into mine workings around a longwall coal face employing methane drainage. This method of methane prediction was developed by solving the time-dependent gas flow equation using the finite element analysis. Having obtained the gas pressure distribution throughout the finite element mesh, a mass flow equation was derived to calculate methane flow rate for a given mining boundary. A computer program for the prediction of methane flow was then developed by devising appropriate modifications and additions to a finite element package originally written for heat flow by PAFEC limited. Stress analysis was also carried out in order to provide an understanding of stress fields around a longwall face to evaluate the induced permeabilities under these stress fields.

Three main routines of the original package required modifications to accommodate the solution of a different equation. These were element routines, solution routines and flux calculation routines. These routines, after modification, were used to simulate advance and retreat longwall mining, with and without drainage. Several different sensitivity tests were carried out by changing parameters such as borehole pressure, length, and spacing in order to aid the planning of methane drainage systems for longwall mining.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Edwards, J.S.
Keywords: Mine gases, Methane, Gas flow, Time dependent gas flow equation
Subjects: T Technology > TN Mining engineering. Metallurgy
Faculties/Schools: UK Campuses > Faculty of Engineering > Department of Chemical and Environmental Engineering
Item ID: 12412
Depositing User: EP, Services
Date Deposited: 23 Jan 2012 09:42
Last Modified: 15 Dec 2017 08:42

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