2017
DOI: 10.1016/j.fuel.2016.11.094
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Rough-walled discrete fracture network modelling for coal characterisation

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Cited by 89 publications
(31 citation statements)
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“…The measured roughness of the geo-material microfluidics devices was compared against slices of their respective rock types. Roughness is measured based on the arithmetic mean roughness, which indicates the average of the absolute value along the reference length 77 . Eq.…”
Section: Methodsmentioning
confidence: 99%
“…The measured roughness of the geo-material microfluidics devices was compared against slices of their respective rock types. Roughness is measured based on the arithmetic mean roughness, which indicates the average of the absolute value along the reference length 77 . Eq.…”
Section: Methodsmentioning
confidence: 99%
“…For example, in Figures a and b, both the noise and cleats are shown to be light gray. So during segmentation, noise is unavoidably segmented as void pores (Figures b and e), inducing extra pores that are not void space in reality (Jing et al, ). Therefore, we apply a denoising process to remove the noise from micro‐CT images.…”
Section: Methodsmentioning
confidence: 99%
“…According to rock damage theory, high stresses on the entry wall tend to produce more mining-induced fractures [23][24][25]. The degree of damage differs as the pillar width changes.…”
Section: Model Description At the Laboratorymentioning
confidence: 99%