Optimization of choke size for two-phase flow using artificial intelligence

Optimization of choke size for two-phase flow using artificial intelligence

Abstract Currently, engineers are using numerical correlations to describe the flow of oil and gas through chokes. These numerical correlations are not 100% accurate, as indicated by other studies, so there is a need to find a better approach to describe and calculate the choke size. Artificial inte...

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Bibliographic Details
Main Authors: Mohammad Khamis, Murtada Elhaj, Abdulazeez Abdulraheem
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Multiphase flow
Artificial intelligence
Modeling
Choke size
Online Access:http://link.springer.com/article/10.1007/s13202-019-0734-6

Internet

http://link.springer.com/article/10.1007/s13202-019-0734-6

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