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Conference Proceedings

Australian Mine Ventilation Conference 2017

Conference Proceedings

Australian Mine Ventilation Conference 2017

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Coal seam gas predrainage optimisation through an enhanced knowledge of coal seam permeability

Gas management practices across the Australian underground coal industry have evolved significantly since the early nineties with the introduction of hazard management plans, directional drilling techniques, surface gas predrainage methods, and the widespread use of ventilation and gas reservoir simulation software.The improvements are evidenced by a substantial reduction in the occurrence of outbursts and gas related delays during a period where coal production rates have increased three to four fold. The development of effective gas predrainage strategies have been afforded by the use of reservoir simulators and a significant increase in the availability of measured gas reservoir data, in particular gas content and composition, adsorption isotherms and permeability. That said significant opportunities remain to optimise gas drainage designs and increase certainty in the gas predrainage design process through an enhanced understanding of coal seam permeability and how it is applied in the gas drainage design process.This paper describes the discrepancies between measured and actual seam permeability found during the recent assessment of two pilot predrainage programs executed in the coal measures of Queensland's Bowen Basin. The results of those programs illustrate the need to better understand the validity of measured permeability data. The history match method employed in the pilot well assessments is proposed as an integral step in the routine gas drainage design processes that will ultimately lead to increased certainty and flexibility in gas predrainage practices.CITATION:Blanch, M, 2017. Coal seam gas predrainage optimisation through an enhanced knowledge of coal seam permeability, in Proceedings Australian Mine Vent Conference 2017, pp 73-78 (The Australasian Institute of Mining and Metallurgy: Melbourne).
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  • Published: 2016
  • PDF Size: 0.553 Mb.
  • Unique ID: P201704012

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