Compositional Reservoir Modeling

Compositional Reservoir Modeling is a computational modeling framework in reservoir simulation that explicitly accounts for the variations in fluid composition and phase behavior during hydrocarbon recovery processes, distinguishing it from conventional black-oil approaches by incorporating multi-component fluid thermodynamics and mass transfer between phases.

459

Publications

17K

Citations

1K

Authors

238

Institutions

Publications per year

2017–2026

94

Authors

1K

  1. KS
    Kamy Sepehrnoori

    The University of Texas at Austin, United States

    48 publications · 2.2K citations

    23

    h-index

  2. RT
    Russell T. Johns

    Pennsylvania State University, United States

    19 publications · 1.1K citations

    15

    h-index

  3. GA
    Gary A. Pope

    The University of Texas at Austin, United States

    13 publications · 458 citations

    12

    h-index

  4. JK
    John Killough

    Texas A&M University, United States

    12 publications · 415 citations

    12

    h-index

  5. HA
    Hamdi A. Tchelepi

    Stanford University, United States

    12 publications · 403 citations

    11

    h-index

1–5 of 1K

Venues

  1. SPE Journal

    42 publications · 2.3K citations

    27

    h-index

  2. SPE Annual Technical Conference and Exhibition

    Conference · 61 publications · 1.9K citations

    23

    h-index

  3. SPE Reservoir Evaluation & Engineering

    SPEREE · 23 publications · 959 citations

    16

    h-index

  4. Journal of Petroleum Science and Engineering

    18 publications · 458 citations

    14

    h-index

  5. SPE Symposium on Reservoir Simulation

    11 publications · 226 citations

    11

    h-index

1–5