Predictive modeling of oil rate for wells under gas lift using machine learning

Predictive modeling of oil rate for wells under gas lift using machine learning

Abstract Optimizing oil production in wells employing gas lift systems is a critical challenge due to the complex interplay of operational and reservoir parameters. This study aimed to develop robust predictive models for estimating oil production rates using a comprehensive dataset from oil fields...

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Bibliographic Details
Main Authors: Famin Ma, Farag M. A. Altalbawy, Pinank Patel, R. Manjunatha, Rishiv Kalia, Shoira Formanova, P. Raja Naveen, Kamal Kant Joshi, Aashna Sinha, Abdolali Yarahmadi Kandahari, Taqi Mohammed Khattab Al-Rubaye, Mohammad Mahtab Alam
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Gas lift
Machine learning
Oil production prediction
Random forest
SHAP analysis
Online Access:https://doi.org/10.1038/s41598-025-12129-w
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https://doi.org/10.1038/s41598-025-12129-w

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