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

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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Bibliographic Details
Main Authors: Edyta Kuk, Jerzy Stopa, Michał Kuk, Damian Janiga, Paweł Wojnarowski
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
production optimization
auto-adaptive decision tree
artificial intelligence
machine learning
sequential model-based algorithm configuration
CCS-EOR
Online Access:https://www.mdpi.com/1996-1073/14/18/5702

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https://www.mdpi.com/1996-1073/14/18/5702

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