Evaluation of Machine Learning Applications for the Complex Near-Critical Phase Behavior Modelling of CO<sub>2</sub>–Hydrocarbon Systems

Evaluation of Machine Learning Applications for the Complex Near-Critical Phase Behavior Modelling of CO<sub>2</sub>–Hydrocarbon Systems

The objective of this study was to evaluate the capability of machine learning models to accurately predict complex near-critical phase behavior in CO<sub>2</sub>–hydrocarbon systems, which are crucial for enhanced oil recovery and carbon storage applications. We compared the physical Pe...

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Bibliographic Details
Main Authors:	Daulet Magzymov, Meruyert Makhatova, Zhasulan Dairov, Murat Syzdykov
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Applied Sciences
Subjects:	phase behavior equation-of-state hybrid modelling flash calculation machine learning
Online Access:	https://www.mdpi.com/2076-3417/14/23/11140
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