A Fractal Model for Predicting the Relative Permeability of Rough-Walled Fractures

The relative permeability and saturation relationships through fractures are fundamental for modeling multiphase flow in underground geological fractured formations. In contrast to the traditional straight capillary model from porous media, the realistic flow paths in rough-walled fractures are tort...

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Main Authors: Zuyang Ye, Wang Luo, Shibing Huang, Yuting Chen, Aiping Cheng
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/6623275
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spelling doaj-a8c4874a7b004a4e906a6963bca130662021-03-29T00:10:10ZengHindawi LimitedAdvances in Civil Engineering1687-80942021-01-01202110.1155/2021/6623275A Fractal Model for Predicting the Relative Permeability of Rough-Walled FracturesZuyang Ye0Wang Luo1Shibing Huang2Yuting Chen3Aiping Cheng4School of Resource and Environmental EngineeringSchool of Resource and Environmental EngineeringSchool of Resource and Environmental EngineeringChangjiang Survey, Planning, Design and Research Co., Ltd.School of Resource and Environmental EngineeringThe relative permeability and saturation relationships through fractures are fundamental for modeling multiphase flow in underground geological fractured formations. In contrast to the traditional straight capillary model from porous media, the realistic flow paths in rough-walled fractures are tortuous. In this study, a fractal relationship between relative permeability and saturation of rough-walled fractures is proposed associated with the fractal characteristics of tortuous parallel capillary plates, which can be generalized to several existing models. Based on the consideration that the aperture distribution of rough-walled fracture can be represented by Gaussian and lognormal distributions, aperture-based expressions between relative permeability and saturation are explicitly derived. The developed relationships are validated by the experimental observations on Gaussian distributed fractures and numerical results on lognormal distributed fractures, respectively.http://dx.doi.org/10.1155/2021/6623275
collection DOAJ
language English
format Article
sources DOAJ
author Zuyang Ye
Wang Luo
Shibing Huang
Yuting Chen
Aiping Cheng
spellingShingle Zuyang Ye
Wang Luo
Shibing Huang
Yuting Chen
Aiping Cheng
A Fractal Model for Predicting the Relative Permeability of Rough-Walled Fractures
Advances in Civil Engineering
author_facet Zuyang Ye
Wang Luo
Shibing Huang
Yuting Chen
Aiping Cheng
author_sort Zuyang Ye
title A Fractal Model for Predicting the Relative Permeability of Rough-Walled Fractures
title_short A Fractal Model for Predicting the Relative Permeability of Rough-Walled Fractures
title_full A Fractal Model for Predicting the Relative Permeability of Rough-Walled Fractures
title_fullStr A Fractal Model for Predicting the Relative Permeability of Rough-Walled Fractures
title_full_unstemmed A Fractal Model for Predicting the Relative Permeability of Rough-Walled Fractures
title_sort fractal model for predicting the relative permeability of rough-walled fractures
publisher Hindawi Limited
series Advances in Civil Engineering
issn 1687-8094
publishDate 2021-01-01
description The relative permeability and saturation relationships through fractures are fundamental for modeling multiphase flow in underground geological fractured formations. In contrast to the traditional straight capillary model from porous media, the realistic flow paths in rough-walled fractures are tortuous. In this study, a fractal relationship between relative permeability and saturation of rough-walled fractures is proposed associated with the fractal characteristics of tortuous parallel capillary plates, which can be generalized to several existing models. Based on the consideration that the aperture distribution of rough-walled fracture can be represented by Gaussian and lognormal distributions, aperture-based expressions between relative permeability and saturation are explicitly derived. The developed relationships are validated by the experimental observations on Gaussian distributed fractures and numerical results on lognormal distributed fractures, respectively.
url http://dx.doi.org/10.1155/2021/6623275
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