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Handbook for Methane Control in Mining - AMMSA

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122emissions. The geometry and size of the zone of emissions simply refer to the shape and extentof the zone. The degree of emissions refers to the percentage of desorbable gas that is released<strong>in</strong>to the m<strong>in</strong>e work<strong>in</strong>gs at a given location near the coalbed be<strong>in</strong>g m<strong>in</strong>ed. In this model, underburdenemission zones and the degree of emissions are generally more limited <strong>in</strong> extent. Thelateral extent of the zone of emissions is generally limited to the dimensions of the panel. Inthese models, sandstone units with<strong>in</strong> the emission zone are ascribed 10% of the gas conta<strong>in</strong>ed <strong>in</strong>a nearby coalbed of equal thickness, whereas shale is assigned 1% of the gas conta<strong>in</strong>ed <strong>in</strong> coalbedsof equal thickness.Schatzel et al. [1992] used such a model to predict methane emissions from longwall panels.They reported that this approach per<strong>for</strong>med well <strong>for</strong> longwall panels <strong>in</strong> Cambria County, PA,but poorly <strong>in</strong> the Central Appalachian Bas<strong>in</strong> of southwestern Virg<strong>in</strong>ia. This suggests thatalthough the simplistic predictive techniques and empirical methods may offer quick calculationadvantages, <strong>in</strong> general they are not sufficiently reliable <strong>for</strong> mak<strong>in</strong>g emission estimates given thecomplex <strong>in</strong>terplay of the geotechnical and m<strong>in</strong><strong>in</strong>g variables <strong>in</strong>volved. Thus, the use of numericalmodels to simulate the physics of both the failure mechanics of rock strata and the fluid flow <strong>in</strong>porous media is more appropriate <strong>for</strong> obta<strong>in</strong><strong>in</strong>g reliable emission estimates, <strong>for</strong> flexibility <strong>in</strong>adapt<strong>in</strong>g the models to different situations, and <strong>for</strong> optimiz<strong>in</strong>g methane dra<strong>in</strong>age systems andm<strong>in</strong>e designs accord<strong>in</strong>gly.Simple calculations and empirical models are usually sitespecificand are very limited <strong>in</strong> their capabilities to estimatemethane emissions. Realistic numerical simulations offerflexibility, confidence <strong>in</strong> estimates, and guidance <strong>for</strong>optimiz<strong>in</strong>g methane dra<strong>in</strong>age systems and m<strong>in</strong>e designs.GAS PREDICTION TECHNIQUES BASED ON NUMERICAL SIMULATIONReservoir simulation is the process of <strong>in</strong>tegrat<strong>in</strong>g geology, petrophysics, reservoir eng<strong>in</strong>eer<strong>in</strong>g,and production operations to more effectively develop and produce hydrocarbon resources.Numerical reservoir simulations can also be useful <strong>in</strong> m<strong>in</strong>e safety applications. In fact, reservoirsimulations are currently the only analytical method that can be used to establish the complexrelationships between coalbed methane reservoir properties, methane dra<strong>in</strong>age, and m<strong>in</strong><strong>in</strong>goperations <strong>in</strong> a reliable and cost-effective manner. Numerical simulation is also the only practicalmethod to describe how reservoir properties affect both gas and water flow and can addressthe <strong>in</strong>tricate mechanisms of gas desorption and diffusion <strong>in</strong> coal due to either methane dra<strong>in</strong>ageand/or m<strong>in</strong><strong>in</strong>g of the coalbed reservoir.Reservoir simulators can be used to per<strong>for</strong>m a variety of analyses. The primary applicationsrelative to coalbed methane/m<strong>in</strong><strong>in</strong>g are:• Determ<strong>in</strong><strong>in</strong>g the volume of gas-<strong>in</strong>-place• Develop<strong>in</strong>g optimum methane dra<strong>in</strong>age systems to reduce the flow of gas <strong>in</strong>tounderground m<strong>in</strong>e work<strong>in</strong>gs• Predict<strong>in</strong>g the methane emission consequences of chang<strong>in</strong>g m<strong>in</strong><strong>in</strong>g methods andpractices

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