Soft Conditioning

Soft Conditioning is a conditional simulation technique that incorporates uncertain or probabilistic secondary data as prior constraints during geostatistical modeling, distinguishing itself from hard conditioning by allowing simulated realizations to honor the statistical distribution rather than exact values of the auxiliary information.

9

Publications

229

Citations

27

Authors

9

Institutions

Publications per year

2017–2026

3

Authors

27

  1. XE
    Xavier Emery

    University of Chile, Chile

    2 publications · 39 citations

    2

    h-index

  2. TO
    Torben O. Sonnenborg

    Geological Survey of Denmark and Greenland, Denmark

    1 publications · 28 citations

    1

    h-index

  3. AM
    Alberto Monje

    University of Michigan, United States

    1 publications · 19 citations

    1

    h-index

  4. JK
    Julian Koch

    Geological Survey of Denmark and Greenland, Denmark

    1 publications · 53 citations

    1

    h-index

  5. OA
    Omid Asghari

    University of Tehran, Iran

    1 publications · 20 citations

    1

    h-index

1–5 of 27

Venues

  1. Hydrology and earth system sciences

    2 publications · 81 citations

    2

    h-index

  2. 2

    h-index

  3. Frontiers in Earth Science

    1 publications · 24 citations

    1

    h-index

  4. Arabian Journal of Geosciences

    1 publications · 20 citations

    1

    h-index

  5. Computers & Geosciences

    CAGEO · 1 publications · 31 citations

    1

    h-index

1–5