Machine learning estimation of crude oil viscosity as function of API, temperature, and oil composition: Model optimization and design space

Measurement of viscosity of crude oil is critical for reservoir simulators. Computational modeling is a useful tool for correlation of crude oil viscosity to reservoir conditions such as pressure, temperature, and fluid compositions. In this work, multiple distinct models are applied to the availabl...

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Detalles Bibliográficos
Autores principales: Li, Daihong, Zhang, Xiaoyu, Kang, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937493/
https://www.ncbi.nlm.nih.gov/pubmed/36800383
http://dx.doi.org/10.1371/journal.pone.0282084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937493/
https://www.ncbi.nlm.nih.gov/pubmed/36800383
http://dx.doi.org/10.1371/journal.pone.0282084

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