Scale-dependent permeability in geologic formations: Renormalization group theory and finite-size scaling analysis

  • Misagh Esmaeilpour
  • , Cheng Chen
  • , Saeid Sadeghnejad
  • , Behzad Ghanbarian

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Understanding the scale dependence of permeability (k) of geologic formations at field scales is essential for precise modeling of flow and transport in subsurface, particularly for underground energy storage. In this study, we conducted extensive computations and investigated the scale dependence of k in random and heterogeneous formations by employing renormalization group theory (RGT) and finite-size scaling analysis. Based on the random permeability field and following the Gaussian distribution of ln(k), we first generated ten formations with different levels of heterogeneity at five dyadic domain sizes, L = 2i, i∈{3,…,7}. The first formation reflects the permeability distribution of an actual reservoir, while the others were generated with varying degrees of heterogeneity. We then applied the RGT to determine the effective permeability (keff) of each formation at various occupation probabilities p = 0.5, 0.6, 0.7, 0.8, 0.9 and 1. We next used finite-size scaling theory to further analyze the scale-dependent keff. The keff−L plot for each formation was scattered. However, by applying the finite-size scaling analysis the data collapsed onto a single quasi-universal curve. It means that finite-size scaling theory could successfully incorporate the effect of large-scale heterogeneities in the scale dependence of permeability.

Original languageEnglish
Article number105019
JournalAdvances in Water Resources
Volume203
DOIs
StatePublished - Sep 2025

Keywords

  • Effective permeability
  • Finite-size scaling
  • Renormalization group theory
  • Scale

Fingerprint

Dive into the research topics of 'Scale-dependent permeability in geologic formations: Renormalization group theory and finite-size scaling analysis'. Together they form a unique fingerprint.

Cite this