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Comparison of Empirical Models to Predict Viscosity of Secondary Vacuum Gas Oils

Author

Listed:
  • Dicho S. Stratiev

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Svetoslav Nenov

    (Department of Mathematics, University of Chemical Technology and Metallurgy, Kliment Ohridski 8, 1756 Sofia, Bulgaria)

  • Ivelina K. Shishkova

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Rosen K. Dinkov

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Kamen Zlatanov

    (Department of Mathematics, University of Chemical Technology and Metallurgy, Kliment Ohridski 8, 1756 Sofia, Bulgaria)

  • Dobromir Yordanov

    (Laboratory of Intelligent Systems, Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, Professor Yakimov 1, 8010 Burgas, Bulgaria)

  • Sotir Sotirov

    (Laboratory of Intelligent Systems, Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, Professor Yakimov 1, 8010 Burgas, Bulgaria)

  • Evdokia Sotirova

    (Laboratory of Intelligent Systems, Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, Professor Yakimov 1, 8010 Burgas, Bulgaria)

  • Vassia Atanassova

    (Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria)

  • Krassimir Atanassov

    (Laboratory of Intelligent Systems, Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, Professor Yakimov 1, 8010 Burgas, Bulgaria
    Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria)

  • Danail D. Stratiev

    (Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria)

  • Liliana Todorova-Yankova

    (Department of Mathematics, University of Chemical Technology and Metallurgy, Kliment Ohridski 8, 1756 Sofia, Bulgaria)

Abstract

This work presents characterization data and viscosity of 34 secondary vacuum gas oils (H-Oil gas oils, visbreaker gas oils, and fluid catalytic cracking slurry oils) with aromatic content reaching up to 100 wt.%. Inter-criteria analysis was employed to define the secondary VGO characteristic parameters which have an effect on viscosity. Seven published empirical models to predict viscosity of the secondary vacuum gas oils were examined for their prediction ability. The empirical model of Aboul-Seud and Moharam was found to have the lowest error of prediction. A modification of Aboul-Seoud and Moharam model by separating the power terms accounting for the effects of specific gravity and average boiling point improves the accuracy of viscosity prediction. It was discovered that the relation of slope of viscosity decrease with temperature enhancement for the secondary vacuum gas oil is not a constant. This slope increases with the average boiling point and the specific gravity augmentation, a fact that has not been discussed before.

Suggested Citation

  • Dicho S. Stratiev & Svetoslav Nenov & Ivelina K. Shishkova & Rosen K. Dinkov & Kamen Zlatanov & Dobromir Yordanov & Sotir Sotirov & Evdokia Sotirova & Vassia Atanassova & Krassimir Atanassov & Danail , 2021. "Comparison of Empirical Models to Predict Viscosity of Secondary Vacuum Gas Oils," Resources, MDPI, vol. 10(8), pages 1-17, August.
    • Handle: RePEc:gam:jresou:v:10:y:2021:i:8:p:82-:d:611864
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    References listed on IDEAS

    as
    1. Dicho S. Stratiev & Ivelina K. Shishkova & Rosen K. Dinkov & Ivan P. Petrov & Iliyan V. Kolev & Dobromir Yordanov & Sotir Sotirov & Evdokia Sotirova & Vassia Atanassova & Simeon Ribagin & Krassimir At, 2021. "Empirical Models to Characterize the Structural and Physiochemical Properties of Vacuum Gas Oils with Different Saturate Contents," Resources, MDPI, vol. 10(7), pages 1-20, July.
    2. Fahimeh Hadavimoghaddam & Mehdi Ostadhassan & Ehsan Heidaryan & Mohammad Ali Sadri & Inna Chapanova & Evgeny Popov & Alexey Cheremisin & Saeed Rafieepour, 2021. "Prediction of Dead Oil Viscosity: Machine Learning vs. Classical Correlations," Energies, MDPI, vol. 14(4), pages 1-16, February.
    Full references (including those not matched with items on IDEAS)

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