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Challenges in Petroleum Characterization—A Review

Author

Listed:
  • Ivelina Shishkova

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Dicho Stratiev

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

  • Iliyan Venkov Kolev

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria)

  • Svetoslav Nenov

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

  • Dimitar Nedanovski

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

  • Krassimir Atanassov

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

  • Vitaly Ivanov

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

  • Simeon Ribagin

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

Abstract

252 literature sources and about 5000 crude oil assays were reviewed in this work. The review has shown that the petroleum characterization can be classified in three categories: crude oil assay; SARA characterization; and molecular characterization. It was found that the range of petroleum property variation is so wide that the same crude oil property cannot be measured by the use of a single standard method. To the best of our knowledge for the first time the application of the additive rule to predict crude oil asphaltene content from that of the vacuum residue multiplied by the vacuum residue TBP yield was examined. It was also discovered that a strong linear relation between the contents of C 5 -, and C 7 -asphaltenes in crude oil and derived thereof vacuum residue fraction exists. The six parameter Weibull extreme function showed to best fit the TBP data of all crude oil types, allowing construction of a correct TBP curve and detection of measurement errors. A new SARA reconstitution approach is proposed to overcome the poor SARA analysis mass balance when crude oils with lower density are analyzed. The use of a chemometric approach with combination of spectroscopic data was found very helpful in extracting information about the composition of complex petroleum matrices consisting of a large number of components.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7765-:d:948329
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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. Jandyson M. Santos & Alessandro Vetere & Alberto Wisniewski & Marcos N. Eberlin & Wolfgang Schrader, 2018. "Comparing Crude Oils with Different API Gravities on a Molecular Level Using Mass Spectrometric Analysis. Part 2: Resins and Asphaltenes," Energies, MDPI, vol. 11(10), pages 1-14, October.
    3. Ivelina K. Shishkova & Dicho S. Stratiev & Mariana P. Tavlieva & Rosen K. Dinkov & Dobromir Yordanov & Sotir Sotirov & Evdokia Sotirova & Vassia Atanassova & Simeon Ribagin & Krassimir Atanassov & Dan, 2021. "Evaluation of the Different Compatibility Indices to Model and Predict Oil Colloidal Stability and Its Relation to Crude Oil Desalting," Resources, MDPI, vol. 10(8), pages 1-20, July.
    4. Jandyson M. Santos & Alberto Wisniewski Jr. & Marcos N. Eberlin & Wolfgang Schrader, 2018. "Comparing Crude Oils with Different API Gravities on a Molecular Level Using Mass Spectrometric Analysis. Part 1: Whole Crude Oil," Energies, MDPI, vol. 11(10), pages 1-11, October.
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    Cited by:

    1. Jinbiao Gao & Pengfei Wu & Chao Li & Delong Xu & Xiuming Wang, 2022. "Influence and Mechanism Study of Ultrasonic Electric Power Input on Heavy Oil Viscosity," Energies, MDPI, vol. 16(1), pages 1-11, December.

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