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Numerical performances of invariable and moving boundary methods during fluid penetration into anisotropic porous media

Zhang, X, Wang, JG, Wang, X ORCID: 0000-0003-4293-7523 and Gao, F 2020 , 'Numerical performances of invariable and moving boundary methods during fluid penetration into anisotropic porous media' , Computers and Geotechnics, vol. 121 , pp. 1-12 , doi: 10.1016/j.compgeo.2020.103458.

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Abstract

Fluid penetration has been observed to have significant impacts on the distributions of pore pressure and effective stress in hydraulic fracturing experiments. This fluid penetration is usually simulated by the invariable boundary method which neglects the impacts of fluid front motion and introduces significant errors in the simulation of hydraulic fracturing. This study proposed a moving boundary method to describe the fluid front motion and established an anisotropic fluid-solid-motion coupling model for fluid penetration into anisotropic porous media. The performances of invariable and moving boundary methods were numerically evaluated for the impacts of fluid front motion on the field variables (including pore pressure, principal stresses and permeability) and breakdown pressure. Simulation results showed that the penetration depth and pore pressure distribution obtained from the moving boundary method fit experimental observations better than those obtained from the invariable boundary method. Anisotropic fluid front motion forms a changing elliptical seepage zone. The pore pressure, principal stresses, hoop and radial permeability have significant changes within seepage zone. The fluid front is the dividing line between seepage zone and initial state zone. The moving boundary method can accurately simulate the hydraulic fracturing.

Item Type: Article
Authors/Creators:Zhang, X and Wang, JG and Wang, X and Gao, F
Keywords: fluid penetration, invariable boundary method, moving boundary method, anisotropic porous media, breakdown pressure
Journal or Publication Title: Computers and Geotechnics
Publisher: Elsevier Sci Ltd
ISSN: 0266-352X
DOI / ID Number: 10.1016/j.compgeo.2020.103458
Copyright Information:

© 2020 Elsevier Ltd. All rights reserved.

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