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1 Ergebnisse
1
Revolutionizing Reservoir Management with Machine Learning:..:
, In:
2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD)
,
Chandramauli, Awadhesh
;
Sapaev, B.
;
Alzubaidi, Laith H.
... - p. 293-299 , 2023
Link:
https://doi.org/10.1109/ICTEASD57136.2023.10584931
RT T1 <cTitle>2023 International Conference for Technological Engineering and its Applications in Sustainable Development (ICTEASD)</cTitle>: T1 <Title>Revolutionizing Reservoir Management with Machine Learning: Enhancing Efficiency and Decision-Making in the Oil and Gas Industry</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10584931&Exemplar=1&LAN=DE A1 Chandramauli, Awadhesh A1 Sapaev, B. A1 Alzubaidi, Laith H. A1 Pathak, Shriram A1 Rai, Anjani Kumar A1 Vennila, C. A1 Mouli, Kathi Chandra YR 2023 K1 Adaptation models K1 Technological innovation K1 Fluids K1 Reviews K1 Computational modeling K1 Oils K1 Machine learning K1 Smart Fields K1 Optimization K1 Uncertainty Analysis K1 Parallel Computing K1 Grid Cells K1 Reservoir Modeling K1 Reservoir Behavior SP 293 OP 299 LK http://dx.doi.org/https://doi.org/10.1109/ICTEASD57136.2023.10584931 DO https://doi.org/10.1109/ICTEASD57136.2023.10584931 SF ELIB - SuUB Bremen
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