A review of permeability-prediction methods for carbonate reservoirs using well-log data

Babadagli T., Al-Salmi S.

SPE RESERVOIR EVALUATION & ENGINEERING, vol.7, no.2, pp.75-88, 2004 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 7 Issue: 2
  • Publication Date: 2004
  • Doi Number: 10.2118/87824-pa
  • Journal Name: SPE RESERVOIR EVALUATION & ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.75-88
  • Istanbul Technical University Affiliated: No

Abstract

The prediction of permeability in heterogeneous carbonates from well-log data represents a difficult and complex problem. Generally, a simple correlation between permeability and porosity cannot be developed, and other well-log parameters need to be embedded into the correlation. The first part of this paper covers an extensive review of the existing correlations in the literature. The use of porosity and other petrophysical properties of rock in permeability prediction is discussed for carbonaceous rocks. This discussion also covers the usefulness of a wide variety of correlations developed using pore-scale (Kozeny-Carman, percolation, and fractal models) to field-scale models (well logs).