Machine learning approaches and multiphase flow characteristics for advancing virtual flow metering

Accurate real-time measurement of pipeline multi-phase flow is crucial for effective reservoir management and production optimization. However, the multi-phase flow measurement is challenging due to the complex flow and fluid distribution. Conventional multi-phase flow meters are complex and expensi...

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Detalhes bibliográficos

Principais autores:	Ala AL-Dogail, Mohammed Hassan, Rahul Gajbhiye, Abdelsalam Alsarkhi, Mustafa Alnaser
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-06-01
coleção:	Machine Learning with Applications
Assuntos:	Virtual Flow meters Machine learning Multi-phase flow Oil and gas flow Artificial intelligence Data-driven
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666827026000307
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