Analysis of permeability coefficient along a rough fractures using a homogenization method

Chae Byung-Gon, Choi Jung Hae, Seo Yong-Seok, Woo Ik

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

To compute a permeability coefficient along a rough fracture that takes into account the fracture geometries, this study performed detailed measurements of fracture roughness using a confocal laser scanning microscope, a quantitative analysis of roughness using a spectral analysis, and a homogenization analysis to calculate a permeability coefficient at the microand macro-scale. The homogenization analysis is a type of perturbation theory that characterizes the behavior of microscopically inhomogeneous material with a periodic boundary condition in microstructure. Therefore, it is possible to analyze accurate permeability characteristics that are represented by the local effect of the facture geometry. The C-permeability coefficients that are calculated using the homogenization analysis for each rough fracture model exhibit an irregular distribution and do not follow the relationship of the cubic law. This distribution suggests that the permeability characteristics strongly depend on the geometric conditions of fractures, such as the roughness and the aperture variation. The homogenization analysis may allow to produce more accurate results than the preexisting equations for calculating permeability.

Original languageEnglish
Title of host publicationEngineering Geology for Society and Territory - Volume 6
Subtitle of host publicationApplied Geology for Major Engineering Projects
PublisherSpringer International Publishing
Pages887-891
Number of pages5
ISBN (Electronic)9783319090603
ISBN (Print)9783319090597
DOIs
StatePublished - 1 Jan 2015

Keywords

  • Confocal laser scanning microscope
  • Homogenization analysis
  • Multi scale
  • Permeability coefficient
  • Rough fracture

Fingerprint

Dive into the research topics of 'Analysis of permeability coefficient along a rough fractures using a homogenization method'. Together they form a unique fingerprint.

Cite this