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Is the permeability of naturally fractured rocks scale dependent?

  • University of Melbourne

Research output: Contribution to journalArticleResearchpeer-review

30 Citations (Scopus)
221 Downloads (Pure)

Abstract

The equivalent permeability, k^eq of stratified fractured porous rocks and its anisotropy is important for hydrocarbon reservoir engineering, groundwater hydrology, and subsurface contaminant transport. However, it is difficult to constrain this tensor property as it is strongly influenced by infrequent large fractures. Boreholes miss them and their directional sampling bias affects the collected geostatistical data. Samples taken at any scale smaller than that of interest truncate distributions and this bias leads to an incorrect characterization and property upscaling.
To better understand this sampling problem, we have investigated a collection of outcrop-data based Discrete Fracture and Matrix (DFM) models with mechanically constrained fracture aperture distributions, trying to establish a useful Representative Elementary Volume (REV). Finite-element analysis and flow-based upscaling have been used to determine k^eq eigenvalues and anisotropy.
While our results indicate a convergence towards a scale-invariant k^eq REV with increasing sample size, k^eq magnitude can have multi-modal distributions. REV size relates to the length of dilated fracture segments as opposed to overall fracture length. Tensor orientation and degree of anisotropy also converge with sample size. However, the REV for k^eq anisotropy is larger than that for k^eq magnitude. Across scales, tensor orientation varies spatially, reflecting inhomogeneity of the fracture patterns. Inhomogeneity is particularly pronounced where the ambient stress selectively activates late- as opposed to early (through-going) fractures. While we cannot detect any increase of k^eq with sample size as postulated in some earlier studies, our results highlight a strong k^eq anisotropy that influences scale dependence.
http://onlinelibrary.wiley.com/doi/10.1002/2016WR019764/full
Original languageEnglish
Pages (from-to)8041-8063
Number of pages23
JournalWater Resources Research
Volume53.2017
Issue number9
Early online date21 Aug 2017
DOIs
Publication statusPublished - 23 Sept 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Permeability Tensor
  • Naturally Fractured Reservoir
  • Upscaling
  • REV Analysis
  • In Situ Stress

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