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Statistical analysis of the microlithotype sequences in the Bulli Seam, Australia, and relevance to permeability for coal gas
Authors:Michelle Smyth  Michael J Buckley
Abstract:Sequential microlithotype analyses through the Permian Bulli Coal, Sydney Basin, Australia, enable determination of the abundance, locations and thicknesses of various microlithotypes in the seam. Statistical analyses allow prediction of these parameters. Microlithotype analyses may be used as a means of predicting seam permeability in relation to coal gas drainage, if used in conjunction with reported correlation between coal type and seam reservoir properties.A combination of sequential microlithotype analyses and statistical modelling provide data on the number, location and thicknesses of individual bands of vitrite, vitrinertite, inertite and mineral-rich coal. A Markov chain describes both the order and thickness of the bands in the seam. Local ordering of microlithotypes is similar, irrespective of vertical orientation, which suggests that analyses and predictions may be possible using representative, randomly oriented samples. Statistical modelling can be used to characterise the seam using a small number of parameters. These include the elements of the transition probability matrix of the Markov chain, from which many seam properties such as maximum band thickness, thickness distribution of bands and spacing of thick bands can be predicted.The permeability of vitrite-rich coal in the seam is 30 mD and it is 2.3 mD for inertite-rich coal. In general, for the Bulli seam, vitrite-rich plies are expected to provide better flow paths for coal gas than inertite-rich plies, because of the abundance of cleat systems in vitrite. Using this information, it thus may be possible to predict gas and water flow paths in a seam from microlithotype analyses, thereby leading to the development of a rapid method for assessing the comparative permeabilities of coal plies.
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