ARTICLE REVIEW :EVALUATION OF POROSITY AND PERMEABILITY USING WELL LOGS

Authors

  • Mohammed Y. Najmuldeen

    Petroleum Engineering Department, College of Engineering, University of Kirkuk, Kirkuk, Iraq.

    Author

  • Khairallah Mohammed Abdullah Al-Obaidy

    Petroleum Training Institute - Refining Department – Iraq.

    Author

Keywords:
Porosity, Permeability, Well Logs, Petrophysics, Reservoir Characterization, NMR, Machine Learning
Abstract

One of the key fundamental problems faced in reservoir engineering is proper determination of porosity and permeability of sub-surface reservoirs. Well logging tools and practices have significantly been developed in the last few decades providing the geoscientists and reservoir engineers ample opportunities to characterise the essential petrophysical parameters of the reservoir rocks. This literature survey attempts to synthesise the present status of research on the application of well logs (such as sonic, density, neutron, nuclear magnetic resonance (NMR) and resistivity logs ) for determining reservoir parameters porosity and permeability. A comparative study has been made between empirical, neural networks and fuzzy logic based methods; also application of combined methods and incorporation of core data have been discussed. Role of the factors like effects of lithological heterogeneity and borehole environmental condition as well as issues in permeability-porosity transform are critically examined and the research gaps and the future prospects in well logging practices for characterizing reservoirs are finally addressed.

References

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Published
2026-07-10
Issue
Vol. 2 No. 7 (2026)
Section
Articles
License
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

ARTICLE REVIEW :EVALUATION OF POROSITY AND PERMEABILITY USING WELL LOGS. (2026). Eureka Journal of Geoscience, Materials & Resource Engineering, 2(7), 1-18. https://eurekaoa.com/index.php/9/article/view/1347

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