Petroleum Reservoir Control Optimization with the Use of the Auto-Adaptive Decision Trees

The global increase in energy demand and the decreasing number of newly discovered hydrocarbon reservoirs caused by the relatively low oil price means that it is crucial to exploit existing reservoirs as efficiently as possible. Optimization of the reservoir control may increase the technical and ec...

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Veröffentlicht in:	Energies (Basel) Jg. 14; H. 18; S. 5702
Hauptverfasser:	Kuk, Edyta, Stopa, Jerzy, Kuk, Michał, Janiga, Damian, Wojnarowski, Paweł
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2021
Schlagworte:	artificial intelligence auto-adaptive decision tree Carbon dioxide CCS-EOR Control theory Decision making Hydrocarbons machine learning Net present value Numerical analysis Optimization Process controls production optimization sequential model-based algorithm configuration
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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