Porosity Modeling

Porosity Modeling is a geostatistical framework that characterizes the spatial distribution of pore space within a reservoir by integrating porosity evaluation data and single-phase flow simulation constraints to generate predictive representations of subsurface porosity heterogeneity.

299

Publications

15.8K

Citations

973

Authors

362

Institutions

Publications per year

2017–2026

127

Authors

973

  1. MS
    Muhammad Sahimi

    University of Southern California, United States

    5 publications · 233 citations

    5

    h-index

  2. MJ
    Martin J. Blunt

    Imperial College London, United Kingdom

    5 publications · 792 citations

    5

    h-index

  3. DP
    David P. Yale

    ExxonMobil (United States), United States

    3 publications · 108 citations

    3

    h-index

  4. SB
    S. Bakke

    Equinor (Norway), Norway

    3 publications · 677 citations

    3

    h-index

  5. WD
    Wenhui Duan

    Monash University, Australia

    3 publications · 115 citations

    3

    h-index

1–5 of 973

Venues

  1. Journal of Petroleum Science and Engineering

    27 publications · 1.9K citations

    21

    h-index

  2. Advances in Water Resources

    15 publications · 970 citations

    15

    h-index

  3. Journal of Natural Gas Science and Engineering

    12 publications · 606 citations

    12

    h-index

  4. AAPG Bulletin

    8 publications · 685 citations

    8

    h-index

  5. Marine and Petroleum Geology

    7 publications · 303 citations

    7

    h-index

1–5