Field-level Forecasting
Field-Level Forecasting is a scholarly contribution in the domain of reservoir forecasting that constitutes a novel method, model, framework, theory, construct, dataset, task, or metric specifically designed to advance predictive capabilities at the field level within the petroleum or hydrogeological sciences.
23
Publications
736
Citations
83
Authors
35
Institutions
Publications per year
2017–2026
8
Parents
23
Wavelets and Field Forecast Verification
William M. Briggs, Richard A. Levine · Monthly Weather Review · 1997 · 109 citations · Full text
Field Data Forecasting Using LSTM and Bi-LSTM Approaches
Paweena Suebsombut, Aïcha Sekhari, Pradorn Sureephong et al. · Applied Sciences · 2021 · 81 citations · Full text
Stock market index prediction based on reservoir computing models
Weijia Wang, Yong Tang, Jason Xiong et al. · Expert Systems with Applications · 2021 · 64 citations
1–5 of 23
83
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 83
35
University of Bergen
Bergen, Norway
2 h-index
6 publications
225 citations
Schlumberger (British Virgin Islands)
Road Town, British Virgin Islands
2 h-index
6 publications
81 citations
Equinor (Norway)
Stavanger, Norway
2 h-index
4 publications
150 citations
Zubov State Oceanographic Institute
Moscow, Russia
1 h-index
2 publications
22 citations
Russian Academy of Sciences
Moscow, Russia
1 h-index
1 publications
11 citations

Appalachian State University
Boone, United States
1 h-index
1 publications
64 citations

Chiang Mai University
Chiang Mai, Thailand
1 h-index
2 publications
162 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
109 citations
1–8 of 35
Conference · 2 publications · 50 citations
2
h-index
NRR · 1 publications · 15 citations
1
h-index
1 publications · 24 citations
1
h-index
SPEREE · 1 publications · 19 citations
1
h-index
Conference · 1 publications · 16 citations
1
h-index
1–5