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Dual porosity modelling of the coupled mechanical response of coal to gas flow and adsorption

Chen, Min, Hosking, Lee J., Sandford, Richard J. and Thomas, Hywel R. 2019. Dual porosity modelling of the coupled mechanical response of coal to gas flow and adsorption. International Journal of Coal Geology 205 , pp. 115-125. 10.1016/j.coal.2019.01.009

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Abstract

This paper presents the inclusion of explicit dual poroelastic mechanical behaviour as part of an existing dual porosity numerical model of multiphase, multicomponent chemical-gas transport. The dual poroelastic framework employed considers the pore structure changes occurring as a result of high pressure carbon dioxide injection into coal, particularly the adsorption-induced coal swelling that has been found to limit injectivity in field trials of carbon sequestration in coalbeds around the world. To address this issue, the surface stress of the fluid-solid interface is introduced into the constitutive relation for dual porosity effective stress in order to investigate the coal deformation and porosity changes related to adsorption behaviour. A new porosity model is presented, in which the impacts of gas flow and coal deformation are incorporated, and an interaction coefficient is proposed to explain the effect of fracture-matrix interactions on the porosity evolution. The model is verified and validated in this work against relevant analytical solutions and experimental results, and applied to study the gas flow behaviour and structural changes of coal. The results show that carbon dioxide injection not only causes coal swelling but also has the potential to change the internal pore structure of coal. The variation of fracture porosity is not monotonic as a competing result of effective stress and internal fracture-matrix interactions. However, the matrix porosity is found to increase during carbon dioxide injection, which seems to be a key contributor to the swelling phenomenon.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0166-5162
Date of Acceptance: 26 January 2019
Last Modified: 30 Sep 2019 20:46
URI: http://orca-mwe.cf.ac.uk/id/eprint/121184

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