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Study of Bulk Properties Relation to SARA Composition Data of Various Vacuum Residues Employing Intercriteria Analysis

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Listed:
  • Dicho Stratiev

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
    Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Academic Georgi Bonchev 105, 1113 Sofia, Bulgaria)

  • Ivelina Shishkova

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Georgi Nikolov Palichev

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

  • Krassimir Atanassov

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

  • Svetoslav Nenov

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

  • Dimitar Nedanovski

    (Department of Mathematics, “St. Kliment Ohridski” University, 15 Tsar Osvoboditel Blvd., 1504 Sofia, Bulgaria)

  • Vitaly Ivanov

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

Abstract

Twenty-two straight run vacuum residues extracted from extra light, light, medium, heavy, and extra heavy crude oils and nine different hydrocracked vacuum residues were characterized for their bulk properties and SARA composition using four and eight fractions (SAR-AD TM ) methods. Intercriteria analysis was employed to determine the statistically meaningful relations between the SARA composition data and the bulk properties. The determined strong relations were modeled using the computer algebra system Maple and NLPSolve with the Modified Newton Iterative Method. It was found that the SAR-AD TM saturates, and the sum of the contents of saturates and ARO-1 can be predicted from vacuum residue density, while the SAR-AD TM asphaltene fraction content, and the sum of asphaltenes, and resins contents correlate with the softening point of the straight run vacuum residues. The softening point of hydrocracked vacuum residues was found to strongly negatively correlates with SAR-AD TM Aro-1 fraction, and strongly positively correlates with SAR-AD TM Aro-3 fraction. While in the straight run vacuum residues, the softening point is controlled by the content of SAR-AD TM asphaltene fraction in the H-Oil hydrocracked vacuum residues, the softening point is controlled by the content of SAR-AD TM Aro-3 fraction content. During high severity H-Oil operation, resulting in higher conversion, hydrocracked vacuum residue with higher SAR-AD TM Aro-3 fraction content is obtained, which makes it harder and more brittle.

Suggested Citation

  • Dicho Stratiev & Ivelina Shishkova & Georgi Nikolov Palichev & Krassimir Atanassov & Simeon Ribagin & Svetoslav Nenov & Dimitar Nedanovski & Vitaly Ivanov, 2022. "Study of Bulk Properties Relation to SARA Composition Data of Various Vacuum Residues Employing Intercriteria Analysis," Energies, MDPI, vol. 15(23), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9042-:d:988043
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    References listed on IDEAS

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    1. Zahra Farmani & Wolfgang Schrader, 2019. "A Detailed Look at the Saturate Fractions of Different Crude Oils Using Direct Analysis by Ultrahigh Resolution Mass Spectrometry (UHRMS)," Energies, MDPI, vol. 12(18), pages 1-12, September.
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