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
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1–5 of 9
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Geological Survey of Denmark and Greenland, Denmark
1 publications · 28 citations
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1–5 of 27
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University of Copenhagen
Copenhagen, Denmark
3 h-index
7 publications
255 citations
University of Chile
Santiago, Chile
2 h-index
2 publications
39 citations
Geological Survey of Denmark and Greenland
Copenhagen, Denmark
2 h-index
5 publications
215 citations
Amirkabir University of Technology
Tehran, Iran
1 h-index
1 publications
20 citations
University of California, Davis
Davis, United States
1 h-index
1 publications
24 citations

University of Tehran
Tehran, Iran
1 h-index
1 publications
20 citations

Lawrence Livermore National Laboratory
Livermore, United States
1 h-index
1 publications
24 citations

McGill University
Montreal, Canada
1 h-index
1 publications
19 citations
1–8 of 9
2 publications · 81 citations
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2 publications · 38 citations
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1 publications · 24 citations
1
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1 publications · 20 citations
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CAGEO · 1 publications · 31 citations
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