Truncated Gaussian Simulation

Truncated Gaussian Simulation is a conditional simulation method that belongs to the class of geostatistical modeling techniques, distinguished by its use of a Gaussian random field truncated by predefined thresholds to generate categorical spatial realizations based on a priori probability distributions.

27

Publications

798

Citations

93

Authors

40

Institutions

Publications per year

2017–2026

5

Variants

Tgs

Authors

93

  1. HB
    Hélène Beucher

    IFP Énergies nouvelles, France

    3 publications · 140 citations

    3

    h-index

  2. CV
    Clayton V. Deutsch

    University of Alberta, Canada

    2 publications · 39 citations

    2

    h-index

  3. MF
    Muhammad Fachri

    University of Bergen, Norway

    1 publications · 31 citations

    1

    h-index

  4. RM
    Ranjan Maitra

    Iowa State University, United States

    1 publications · 10 citations

    1

    h-index

  5. AC
    A. Cadilhe

    University of Minho, Portugal

    1 publications · 13 citations

    1

    h-index

1–5 of 93

Venues

  1. SPE Annual Technical Conference and Exhibition

    Conference · 4 publications · 67 citations

    4

    h-index

  2. AAPG Bulletin

    2 publications · 119 citations

    2

    h-index

  3. Computers & Geosciences

    CAGEO · 2 publications · 40 citations

    2

    h-index

  4. Proceedings of SPE Annual Technical Conference and Exhibition

    Conference · 1 publications · 14 citations

    1

    h-index

  5. Mathematical Geosciences

    1 publications · 21 citations

    1

    h-index

1–5