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
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1 publications · 50 citations
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University of Neuchâtel
Neuchâtel, Switzerland
2 h-index
6 publications
94 citations

University of Tulsa
Tulsa, United States
2 h-index
3 publications
98 citations
Petroleum Technology Company (Norway)
Stavanger, Norway
1 h-index
2 publications
140 citations
University of Science and Technology of China
Hefei, China
1 h-index
3 publications
57 citations

Heriot-Watt University
Edinburgh, United Kingdom
1 h-index
2 publications
222 citations

University of Oslo
Oslo, Norway
1 h-index
1 publications
23 citations
Chevron (China)
Hong Kong, China
1 h-index
2 publications
140 citations
Stanford University
Stanford, United States
1 publications
29 citations
1–8 of 7
2 publications · 84 citations
2
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1 publications · 12 citations
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1 publications · 111 citations
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1 publications · 23 citations
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1 publications · 29 citations
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