Unified scaling model for viscosity of crude oil over extended temperature range
Bulat Galimzyanov, Maria Doronina, Anatolii Mokshin

TL;DR
This paper introduces a universal scaling viscosity model for crude oil that accurately predicts viscosity across a wide temperature range, incorporating physical parameters like API gravity and glass transition temperature.
Contribution
The study develops a novel universal scaling model for crude oil viscosity that outperforms existing empirical equations and links model parameters with physical properties.
Findings
Model accurately predicts viscosity over wide temperature range
Established relationships between viscosity parameters and physical properties
Model surpasses accuracy of previous empirical equations
Abstract
The viscosity of crude oil is an important physical property that largely determines the fluidity of oil and its ability to seep through porous media such as geological rock. Predicting crude oil viscosity requires the development of reliable models that can reproduce viscosity over a wide range of temperatures and pressures. Such viscosity models must operate with a set of physical characteristics that are sufficient to describe the viscosity of an extremely complex multi-phase and multi-component system such as crude oil. The present work considers empirical data on the temperature dependence of the viscosity of crude oil samples from various fields in Russia, China, Saudi Arabia, Nigeria, Kuwait and the North Sea. For the first time, within the reduced temperature concept and using the universal scaling viscosity model, the viscosity of crude oil can be accurately determined over a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
