IDEAS home Printed from https://ideas.repec.org/a/gam/jresou/v10y2021i7p71-d591406.html
   My bibliography  Save this article

Empirical Models to Characterize the Structural and Physiochemical Properties of Vacuum Gas Oils with Different Saturate Contents

Author

Listed:
  • Dicho S. Stratiev

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Ivelina K. Shishkova

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Rosen K. Dinkov

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Ivan P. Petrov

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Iliyan V. Kolev

    (LUKOIL Neftohim Burgas, 8104 Burgas, 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, Academic Georgi Bonchev 105, 1113 Sofia, Bulgaria)

  • Simeon Ribagin

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

  • Danail D. Stratiev

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

  • Svetoslav Nenov

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

  • Liliana Todorova-Yankova

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

  • Kamen Zlatanov

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

Abstract

Inter-criteria analysis was employed in VGO samples having a saturate content between 0.8 and 93.1 wt.% to define the statistically significant relations between physicochemical properties, empirical structural models and vacuum gas oil compositional information. The use of a logistic function and employment of a non-linear least squares method along with the aromatic ring index allowed for our newly developed correlation to accurately predict the saturate content of VGOs. The empirical models developed in this study can be used not only for obtaining the valuable structural information necessary to predict the behavior of VGOs in the conversion processes but can also be utilized to detect incorrectly performed SARA analyses. This work confirms the possibility of predicting the contents of VGO compounds from physicochemical properties and empirical models.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jresou:v:10:y:2021:i:7:p:71-:d:591406
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2079-9276/10/7/71/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2079-9276/10/7/71/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Ivelina Shishkova & Dicho Stratiev & Iliyan Venkov Kolev & Svetoslav Nenov & Dimitar Nedanovski & Krassimir Atanassov & Vitaly Ivanov & Simeon Ribagin, 2022. "Challenges in Petroleum Characterization—A Review," Energies, MDPI, vol. 15(20), pages 1-33, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jresou:v:10:y:2021:i:7:p:71-:d:591406. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.