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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/23/11140 |
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