Improved Correlations for Prediction of Viscosity of Iranian Crude Oils
Author:
Publisher
Elsevier BV
Subject
General Chemical Engineering,General Chemistry,Biochemistry,Environmental Engineering
Reference21 articles.
1. Hydrocarbon Phase Behavior;Ahmed,1989
2. “An improved temperature-viscosity correlation for crude oil systems”;Egbogah;J. Pet. Sci. Eng.,1990
3. “Prediction of kinematic viscosity of crude oil from chromatographic data”;Burg;Fuel,1997
4. “Physical properties of heavy petroleum fractions and crude oils”;Riazi;Fluid Phase Equilib.,1996
5. Pressure-temperature-viscosity relationship for heavy petroleum fractions”;Martín-Alfonso;Fuel,2007
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1. A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model;Neural Computing and Applications;2023-01-22
2. Prediction of petroleum viscosity from molecular weight and density;Fuel;2023-01
3. An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity;Beni-Suef University Journal of Basic and Applied Sciences;2022-12-12
4. Performance of thermophilic strain on the reduction of viscosity of crude oil under high pressure and high temperature conditions: Experiments and modeling;Journal of Petroleum Science and Engineering;2022-03
5. Prediction the Liquid Petroleum Products Viscosity;IOP Conference Series: Earth and Environmental Science;2022-02-01
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