Hard Data Conditioning

Hard Data Conditioning is a geostatistical simulation technique that incorporates exact, measured observations (hard data) at their sampled locations as strict constraints within stochastic reservoir modeling to ensure conditional realizations honor the observed values without deviation.

7

Publications

299

Citations

14

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

14

  1. PR
    Philippe Renard

    University of Neuchâtel, Switzerland

    2 publications · 35 citations

    2

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  2. JS
    Julien Straubhaar

    University of Neuchâtel, Switzerland

    2 publications · 35 citations

    2

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  3. PP
    Printer-friendly Pdf

    1 publications · 50 citations

    1

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  4. DL
    Dan-Thuy Lam

    University of Neuchâtel, Switzerland

    1 publications · 12 citations

    1

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  5. RA
    R. A. Schatzinger

    University of Tulsa, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 14

Venues

  1. SPE Journal

    2 publications · 84 citations

    2

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  2. Water Resources Research

    1 publications · 12 citations

    1

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  3. Computational Geosciences

    1 publications · 111 citations

    1

    h-index

  4. Earth and Space Science

    1 publications · 23 citations

    1

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  5. Mathematical Geology

    1 publications · 29 citations

1–5