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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2021-01-01
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Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/6623275 |
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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 |
work_keys_str_mv |
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