Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state

Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state

Abstract Accurate knowledge of crude oil pressure–volume–temperature (PVT) properties is essential for both industrial and academic applications. However, traditional experimental methods for determining these properties, particularly the solution gas–oil ratio (Rs), are time-intensive and costly. I...

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Bibliographic Details
Main Authors: Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
PVT properties
Solution gas–oil ratio
Decision tree
Intelligent model
Artificial neural networks
Random forest
Online Access:https://doi.org/10.1038/s41598-025-91132-7
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https://doi.org/10.1038/s41598-025-91132-7

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