Modeling liquid rate through wellhead chokes using machine learning techniques

Modeling liquid rate through wellhead chokes using machine learning techniques

Abstract Precise measurement and prediction of the fluid flow rates in production wells are crucial for anticipating the production volume and hydrocarbon recovery and creating a steady and controllable flow regime in such wells. This study suggests two approaches to predict the flow rate through we...

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Bibliographic Details
Main Authors: Mohammad-Saber Dabiri, Fahimeh Hadavimoghaddam, Sefatallah Ashoorian, Mahin Schaffie, Abdolhossein Hemmati-Sarapardeh
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Wellhead chokes
Machine learning
Choke modeling
Correlation development
Liquid rate of two-phase flow
Adaboost-SVR
Online Access:https://doi.org/10.1038/s41598-024-54010-2

Internet

https://doi.org/10.1038/s41598-024-54010-2

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