Geological Realization Generation

Geological Realization Generation is the geostatistical process of creating a single, plausible spatial configuration of subsurface geological properties—such as facies distribution or petrophysical parameters—conditioned on available data, geological constraints, and uncertainty, thereby representing a distinct stochastic instance within a reservoir modeling workflow.

15

Publications

763

Citations

35

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

35

  1. JC
    Jef Caers

    Stanford University, United States

    2 publications · 29 citations

    2

    h-index

  2. MJ
    Mark Jessell

    The University of Western Australia, Australia

    2 publications · 124 citations

    2

    h-index

  3. SS
    Sebastien Strebelle

    Chevron (Netherlands), Netherlands

    2 publications · 210 citations

    2

    h-index

  4. AG
    André G. Journel

    Stanford University, United States

    2 publications · 210 citations

    2

    h-index

  5. ML
    Mark Lindsay

    The University of Western Australia, Australia

    2 publications · 124 citations

    2

    h-index

1–5 of 35

Venues

  1. SPE Annual Technical Conference and Exhibition

    Conference · 3 publications · 191 citations

    3

    h-index

  2. Journal of Petroleum Technology

    JPT · 1 publications · 86 citations

    1

    h-index

  3. Proceedings of SPE Annual Technical Conference and Exhibition

    Conference · 1 publications · 45 citations

    1

    h-index

  4. Mathematical Geosciences

    1 publications · 41 citations

    1

    h-index

  5. SPE Reservoir Evaluation & Engineering

    SPEREE · 1 publications · 17 citations

    1

    h-index

1–5