Control mechanisms of self-affine, rough cleat networks on flow dynamics in coal reservoir

Yi Jin, Junling Zheng, Xianhe Liu, Jienan Pan and Shunxi Liu

Energy, 2019, vol. 189, issue C

Abstract: Cleat networks dominate the migration of coalbed methane (CBM), which is assembled by cleats of different type following special configuration and possessing rough, self-affine surfaces. Nowadays, configuration implications, scale-invariant properties, fractal control mechanisms, and their relations to flow dynamics have not yet been fully clarified. Herein we explore these issues numerically using effective modeling of cleat networks and pore-scale simulations of fluid flow through them. Firstly, the control mechanics of fractal dynamics was clarified by fractal topography theory, a new definition of Weierstrass-Mandelbrot (W-M) function was proposed to characterize the self-affine surface geometries, an algorithm was developed to effectively construct cleat networks similar in coal, and Lattice Boltzmann method (LBM) was used to reproduce the fluid flow in numerical cleat networks at the pore scale. Afterwards, the implications of spatial configuration of cleats and fractal control mechanisms of surface geometries on the permeability were systematically analyzed and quantified. Finally, an empirical model was established to predict the permeability of self-affine, rough cleat networks, rather than a rough estimation by a power-law proportionality in previous research. The performance of the proposed model was fully verified by comparative analysis and numerical simulations. Theoretical analysis denotes that our model can generalize several traditional and newly developed models from the literature.

Keywords: Cleat networks; Fractal topography; Triple-effect model; Self-affine property; Permeability (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:189:y:2019:i:c:s0360544219318419

DOI: 10.1016/j.energy.2019.116146

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