Modeling the solubility of light hydrocarbon gases and their mixture in brine with machine learning and equations of state

Knowledge of the solubilities of hydrocarbon components of natural gas in pure water and aqueous electrolyte solutions is important in terms of engineering designs and environmental aspects. In the current work, six machine-learning algorithms, namely Random Forest, Extra Tree, adaptive boosting sup...

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Detalles Bibliográficos
Autores principales: Mohammadi, Mohammad-Reza, Hadavimoghaddam, Fahimeh, Atashrouz, Saeid, Abedi, Ali, Hemmati-Sarapardeh, Abdolhossein, Mohaddespour, Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440136/
https://www.ncbi.nlm.nih.gov/pubmed/36056055
http://dx.doi.org/10.1038/s41598-022-18983-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440136/
https://www.ncbi.nlm.nih.gov/pubmed/36056055
http://dx.doi.org/10.1038/s41598-022-18983-2

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