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


Babadagli T., Al-Salmi S.

SPE RESERVOIR EVALUATION & ENGINEERING, cilt.7, sa.2, ss.75-88, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 7 Sayı: 2
  • Basım Tarihi: 2004
  • Doi Numarası: 10.2118/87824-pa
  • Dergi Adı: SPE RESERVOIR EVALUATION & ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.75-88
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

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).