{"title":"Characterization of Size-Dependent Inertial Permeability for Rough-Walled Fractures","authors":"Zihao Sun, Liangqing Wang, Liangchao Zou, Jia-Qing Zhou","doi":"10.1007/s11242-024-02139-z","DOIUrl":null,"url":null,"abstract":"<div><p>Inertial permeability is a critical parameter that quantifies the pressure loss caused by inertia in fluid flow through rough-walled fractures, described by the Forchheimer equation. This study investigates the size effect on the inertial permeability of rough-walled fractures and establishes a characterization model for fractures of varying sizes. Numerical simulations are conducted on five large-scale fracture models (1 m × 1 m) by resolving the Navier–Stokes equations. Smaller models are extracted from these large-scale fracture models for detailed size-dependent analysis. The results show that the peak asperity height (<i>ξ</i>), asperity height variation coefficient (<i>η</i>), and the fitting coefficient of the aperture cumulative distribution curve (<i>C</i>) significantly affect inertial permeability. Specifically, as <i>ξ</i> increases, the fluid flow experiences greater resistance, resulting in a reduction of inertial permeability. Similarly, a larger <i>η</i> corresponds to more variable asperity heights, further decreasing permeability. In contrast, a higher <i>C</i> value, indicating a more uniform aperture distribution, increases inertial permeability by facilitating smoother fluid flow. Quantitatively, the relationship between inertial permeability and fracture size follows a power law, with the sensitivity to roughness parameters diminishing as fracture size increases. This characterization model provides a method for scaling from laboratory-scale to field-scale fractures, offering practical implications for hydraulic engineering and subsurface fluid flow management.</p></div>","PeriodicalId":804,"journal":{"name":"Transport in Porous Media","volume":"152 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport in Porous Media","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s11242-024-02139-z","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Inertial permeability is a critical parameter that quantifies the pressure loss caused by inertia in fluid flow through rough-walled fractures, described by the Forchheimer equation. This study investigates the size effect on the inertial permeability of rough-walled fractures and establishes a characterization model for fractures of varying sizes. Numerical simulations are conducted on five large-scale fracture models (1 m × 1 m) by resolving the Navier–Stokes equations. Smaller models are extracted from these large-scale fracture models for detailed size-dependent analysis. The results show that the peak asperity height (ξ), asperity height variation coefficient (η), and the fitting coefficient of the aperture cumulative distribution curve (C) significantly affect inertial permeability. Specifically, as ξ increases, the fluid flow experiences greater resistance, resulting in a reduction of inertial permeability. Similarly, a larger η corresponds to more variable asperity heights, further decreasing permeability. In contrast, a higher C value, indicating a more uniform aperture distribution, increases inertial permeability by facilitating smoother fluid flow. Quantitatively, the relationship between inertial permeability and fracture size follows a power law, with the sensitivity to roughness parameters diminishing as fracture size increases. This characterization model provides a method for scaling from laboratory-scale to field-scale fractures, offering practical implications for hydraulic engineering and subsurface fluid flow management.
惯性渗透率是一个关键参数,用于量化流体在粗壁裂缝中流动时的惯性造成的压力损失,由Forchheimer方程描述。研究了粗壁裂缝尺寸对惯性渗透率的影响,建立了不同尺寸裂缝的表征模型。通过求解Navier-Stokes方程,对5种1 m × 1 m的大尺度裂缝模型进行了数值模拟。从这些大型裂缝模型中提取较小的模型进行详细的尺寸相关分析。结果表明,峰值凹凸高度(ξ)、凹凸高度变化系数(η)和孔径累积分布曲线拟合系数(C)对惯性渗透率有显著影响。具体地说,随着ξ值的增加,流体流动受到更大的阻力,导致惯性导率的降低。同样,较大的η对应于更可变的粗糙度高度,进一步降低渗透率。相反,C值越高,孔径分布越均匀,通过使流体流动更顺畅而增加惯性渗透率。在定量上,惯性渗透率与裂缝尺寸之间的关系遵循幂律,对粗糙度参数的敏感性随着裂缝尺寸的增加而降低。该表征模型提供了一种从实验室规模到现场规模的裂缝缩放方法,为水利工程和地下流体流动管理提供了实际意义。
期刊介绍:
-Publishes original research on physical, chemical, and biological aspects of transport in porous media-
Papers on porous media research may originate in various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering)-
Emphasizes theory, (numerical) modelling, laboratory work, and non-routine applications-
Publishes work of a fundamental nature, of interest to a wide readership, that provides novel insight into porous media processes-
Expanded in 2007 from 12 to 15 issues per year.
Transport in Porous Media publishes original research on physical and chemical aspects of transport phenomena in rigid and deformable porous media. These phenomena, occurring in single and multiphase flow in porous domains, can be governed by extensive quantities such as mass of a fluid phase, mass of component of a phase, momentum, or energy. Moreover, porous medium deformations can be induced by the transport phenomena, by chemical and electro-chemical activities such as swelling, or by external loading through forces and displacements. These porous media phenomena may be studied by researchers from various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering).