Data-Driven Proxy Models for Improving Advanced Well Completion Design under Uncertainty

Data-Driven Proxy Models for Improving Advanced Well Completion Design under Uncertainty

In order to improve the design of advanced wells, the performance of such wells needs to be carefully assessed by taking the reservoir uncertainties into account. This research aimed to develop data-driven proxy models for the simulation and assessment of oil recovery through advanced wells under un...

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Bibliographic Details
Main Authors: Ali Moradi, Javad Tavakolifaradonbe, Britt M. E. Moldestad
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
ANN
proxy models
advanced wells
FCD
AICV
Online Access:https://www.mdpi.com/1996-1073/15/20/7484

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