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Simulations of hydro-fracking in rock mass at meso-scale using fully coupled DEM/CFD approach

Abstract

The paper deals with two-dimensional (2D) numerical modelling of hydro-fracking (hydraulic fracturing) in rocks at the meso-scale. A numerical model was developed to characterize the properties of fluid-driven fractures in rocks by combining the discrete element method (DEM) with computational fluid dynamics (CFD). The mechanical behaviour of the rock matrix was simulated with DEM and the behaviour of the fracturing fluid flow in newly developed and pre- existing fractures with CFD. The changes in the void geometry in the rock matrix were taken into account. The initial 2D hydro-fracking simulation tests were carried out for a rock segment under biaxial compression with one injection slot in order to validate the numerical model. The qualitative effect of several parameters on the propagation of a hydraulic fracture was studied: initial porosity of the rock matrix, dynamic viscosity of the fracking fluid, rock strength and pre- existing fracture. The characteristic features of a fractured rock mass due to a high-pressure injection of fluid were realistically modelled by the proposed coupled approach.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
Acta Geotechnica no. 15, pages 297 - 324,
ISSN: 1861-1125
Language:
English
Publication year:
2020
Bibliographic description:
Krzaczek M., Nitka M., Kozicki J., Tejchman-Konarzewski A.: Simulations of hydro-fracking in rock mass at meso-scale using fully coupled DEM/CFD approach// Acta Geotechnica -Vol. 15, (2020), s.297-324
DOI:
Digital Object Identifier (open in new tab) 10.1007/s11440-019-00799-6
Sources of funding:
  • The research works have been carried out within the project: ‘Modelling of hydro-fracking in shales’ financed by the National Centre for Research and Development (NCBR) as part of the program BLUE GAS—POLISH SHALE GAS. Contract No. BG1/ MWSSSG/13 and within the project ‘Fracture propagation in rocks coupled with fluid flow and heat transport’ financed by the National Science Centre (NCN) (UMO-2018/29/B/ST8/00255).
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Gdańsk University of Technology

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