LAPSE:2023.8916v1
Published Article
LAPSE:2023.8916v1
Challenges in Petroleum Characterization—A Review
February 24, 2023
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 C5-, and C7-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.
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Shishkova I, Stratiev D, Kolev IV, Nenov S, Nedanovski D, Atanassov K, Ivanov V, Ribagin S. Challenges in Petroleum Characterization—A Review. (2023). LAPSE:2023.8916v1
Author Affiliations
Shishkova I: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria [ORCID]
Stratiev D: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria; Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria [ORCID]
Kolev IV: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
Nenov S: Department of Mathematics, University of Chemical Technology and Metallurgy, Kliment Ohridski 8, 1756 Sofia, Bulgaria
Nedanovski D: Faculty of Mathematics and Informatics, “St. Kliment Ohridski” University, 15 Tsar Osvoboditel Blvd., 1504 Sofia, Bulgaria
Atanassov K: Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria
Ivanov V: Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, Professor Yakimov 1, 8010 Burgas, Bulgaria
Ribagin S: Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria
Stratiev D: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria; Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria [ORCID]
Kolev IV: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
Nenov S: Department of Mathematics, University of Chemical Technology and Metallurgy, Kliment Ohridski 8, 1756 Sofia, Bulgaria
Nedanovski D: Faculty of Mathematics and Informatics, “St. Kliment Ohridski” University, 15 Tsar Osvoboditel Blvd., 1504 Sofia, Bulgaria
Atanassov K: Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria
Ivanov V: Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, Professor Yakimov 1, 8010 Burgas, Bulgaria
Ribagin S: Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Academic GeorgiBonchev 105, 1113 Sofia, Bulgaria
Journal Name
Energies
Volume
15
Issue
20
First Page
7765
Year
2022
Publication Date
2022-10-20
Published Version
ISSN
1996-1073
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PII: en15207765, Publication Type: Review
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LAPSE:2023.8916v1
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doi:10.3390/en15207765
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Feb 24, 2023
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