Permeability Estimation

Permeability Estimation is a quantitative reservoir-characterization method that infers the magnitude and spatial distribution of rock permeability from core, well-log, and/or well-test observations by applying petrophysical, statistical, or inverse modeling relationships.

5.3K

Publications

246.8K

Citations

12.7K

Authors

2.4K

Institutions

Publications per year

2017–2026

1.6K

Authors

12.7K

  1. AC
    Albert C. Reynolds

    University of Tulsa, United States

    28 publications · 1.3K citations

    18

    h-index

  2. ZP
    Zhejun Pan

    Commonwealth Scientific and Industrial Research Organisation, Australia

    20 publications · 1.9K citations

    18

    h-index

  3. AA
    Abdulazeez Abdulraheem

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    23 publications · 1.1K citations

    18

    h-index

  4. AD
    Akhil Datta‐Gupta

    Texas A&M University, United States

    23 publications · 1.1K citations

    17

    h-index

  5. SH
    Satya Harpalani

    Southern Illinois University Carbondale, United States

    18 publications · 2K citations

    17

    h-index

1–5 of 12.7K

Venues

  1. Water Resources Research

    149 publications · 10K citations

    54

    h-index

  2. Journal of Petroleum Science and Engineering

    151 publications · 6.4K citations

    47

    h-index

  3. SPE Annual Technical Conference and Exhibition

    Conference · 228 publications · 8.7K citations

    44

    h-index

  4. Fuel

    80 publications · 5K citations

    44

    h-index

  5. Transport in Porous Media

    88 publications · 6K citations

    39

    h-index

1–5