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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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Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2025-07-01
Serie:Scientific Reports
Soggetti:
Gas lift
Machine learning
Oil production prediction
Random forest
SHAP analysis
Accesso online:https://doi.org/10.1038/s41598-025-12129-w
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