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Mathematical modelling of gas production and compositional shift of a CSG (coal seam gas) field: Local model development

Author

Listed:
  • Psaltis, Steven
  • Farrell, Troy
  • Burrage, Kevin
  • Burrage, Pamela
  • McCabe, Peter
  • Moroney, Timothy
  • Turner, Ian
  • Mazumder, Saikat

Abstract

In this work we discuss the development of a mathematical model to predict the shift in gas composition observed over time from a producing CSG (coal seam gas) well, and investigate the effect that physical properties of the coal seam have on gas production. A detailed (local) one-dimensional, two-scale mathematical model of a coal seam has been developed. The model describes the competitive adsorption and desorption of three gas species (CH4, CO2 and N2) within a microscopic, porous coal matrix structure. The (diffusive) flux of these gases between the coal matrices (microscale) and a cleat network (macroscale) is accounted for in the model. The cleat network is modelled as a one-dimensional, volume averaged, porous domain that extends radially from a central well. Diffusive and advective transport of the gases occurs within the cleat network, which also contains liquid water that can be advectively transported. The water and gas phases are assumed to be immiscible. The driving force for the advection in the gas and liquid phases is taken to be a pressure gradient with capillarity also accounted for. In addition, the relative permeabilities of the water and gas phases are considered as functions of the degree of water saturation.

Suggested Citation

  • Psaltis, Steven & Farrell, Troy & Burrage, Kevin & Burrage, Pamela & McCabe, Peter & Moroney, Timothy & Turner, Ian & Mazumder, Saikat, 2015. "Mathematical modelling of gas production and compositional shift of a CSG (coal seam gas) field: Local model development," Energy, Elsevier, vol. 88(C), pages 621-635.
    • Handle: RePEc:eee:energy:v:88:y:2015:i:c:p:621-635
    DOI: 10.1016/j.energy.2015.05.107
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    References listed on IDEAS

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    Cited by:

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    4. Cheng, Ming & Fu, Xuehai & Chen, Zhaoying & Liu, Ting & Zhang, Miao & Kang, Junqiang, 2023. "A new approach to evaluate abandoned mine methane resources based on the zoning of the mining-disturbed strata," Energy, Elsevier, vol. 274(C).

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