Forecasting Under Uncertainty
Forecasting Under Uncertainty is a methodological framework within reservoir forecasting that quantifies and propagates uncertainty in input data, model parameters, and future conditions to produce probabilistic predictions of reservoir performance, distinguishing itself from deterministic forecasting approaches by explicitly accounting for incomplete knowledge and inherent variability in subsurface systems.
250
Publications
12.3K
Citations
717
Authors
317
Institutions
Publications per year
2017–2026
80
Parents
250
Ecological forecasting and data assimilation in a data-rich era
Yiqi Luo, Kiona Ogle, Colin Tucker et al. · Ecological Applications · 2011 · 343 citations
1–5 of 250
717
Universidade Estadual de Campinas (UNICAMP), Brazil
7 publications · 110 citations
7
h-index
5
h-index
4
h-index
Ulsan National Institute of Science and Technology, South Korea
4 publications · 331 citations
4
h-index
3
h-index
1–5 of 717
317
Chevron (Netherlands)
Rotterdam, Netherlands
11 h-index
23 publications
619 citations

University of Tulsa
Tulsa, United States
7 h-index
12 publications
540 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
6 h-index
15 publications
240 citations
Texas A&M University
College Station, United States
5 h-index
9 publications
179 citations
Virginia Tech
Blacksburg, United States
5 h-index
25 publications
1.6K citations
Hospital de Clínicas da Unicamp
Campinas, Brazil
4 h-index
9 publications
126 citations
Tsinghua University
Beijing, China
4 h-index
13 publications
1.1K citations
The University of Texas at Austin
Austin, United States
4 h-index
12 publications
508 citations
1–8 of 317
17 publications · 1.5K citations
16
h-index
SPEREE · 13 publications · 426 citations
12
h-index
Conference · 10 publications · 169 citations
10
h-index
6 publications · 435 citations
6
h-index
6 publications · 807 citations
6
h-index
1–5