Prediction of Dead Oil Viscosity: Machine Learning vs. Classical Correlations

Prediction of Dead Oil Viscosity: Machine Learning vs. Classical Correlations

Dead oil viscosity is a critical parameter to solve numerous reservoir engineering problems and one of the most unreliable properties to predict with classical black oil correlations. Determination of dead oil viscosity by experiments is expensive and time-consuming, which means developing an accura...

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Bibliographic Details
Main Authors: Fahimeh Hadavimoghaddam, Mehdi Ostadhassan, Ehsan Heidaryan, Mohammad Ali Sadri, Inna Chapanova, Evgeny Popov, Alexey Cheremisin, Saeed Rafieepour
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Energies
Subjects:
viscosity
PVT properties
dead oil viscosity
machine learning
SuperLearner
Online Access:https://www.mdpi.com/1996-1073/14/4/930

Internet

https://www.mdpi.com/1996-1073/14/4/930

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