Compositional Modeling of the Oil Formation Volume Factor of Crude Oil Systems: Application of Intelligent Models and Equations of State

[Image: see text] This communication primarily concentrates on developing reliable and accurate compositional oil formation volume factor (B(o)) models using several advanced and powerful machine learning (ML) models, namely, extra trees (ETs), random forest (RF), decision trees (DTs), generalized r...

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Detalles Bibliográficos
Autores principales: Larestani, Aydin, Hemmati-Sarapardeh, Abdolhossein, Samari, Zahra, Ostadhassan, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301644/
https://www.ncbi.nlm.nih.gov/pubmed/35874223
http://dx.doi.org/10.1021/acsomega.2c01466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301644/
https://www.ncbi.nlm.nih.gov/pubmed/35874223
http://dx.doi.org/10.1021/acsomega.2c01466

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