Evaluation of the Different Compatibility Indices to Model and Predict Oil Colloidal Stability and Its Relation to Crude Oil Desalting

Ivelina K. Shishkova, Dicho S. Stratiev, Mariana P. Tavlieva, Rosen K. Dinkov, Dobromir Yordanov, Sotir Sotirov, Evdokia Sotirova, Vassia Atanassova, Simeon Ribagin, Krassimir Atanassov, Danail D. Stratiev, Liliana Todorova-Yankova and Svetoslav Nenov
Additional contact information
Ivelina K. Shishkova: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
Dicho S. Stratiev: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
Mariana P. Tavlieva: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
Rosen K. Dinkov: LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
Dobromir Yordanov: Laboratory of Intelligent Systems, Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, 8010 Burgas, Bulgaria
Sotir Sotirov: Laboratory of Intelligent Systems, Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, 8010 Burgas, Bulgaria
Evdokia Sotirova: Laboratory of Intelligent Systems, Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, 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, 8010 Burgas, Bulgaria
Danail D. Stratiev: Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Academic Georgi Bonchev 105, 1113 Sofia, Bulgaria
Liliana Todorova-Yankova: Laboratory of Intelligent Systems, Department of Industrial Technologies and Management, University Prof. Dr. Assen Zlatarov, 8010 Burgas, Bulgaria
Svetoslav Nenov: Department of Mathematics, University of Chemical Technology and Metallurgy, Kliment Ohridski 8, 1756 Sofia, Bulgaria

Resources, 2021, vol. 10, issue 8, 1-20

Abstract: Thirty crude oils, belonging to light, medium, heavy, and extra heavy, light sulfur, and high sulfur have been characterized and compatibility indices defined. Nine crude oil compatibility indices have been employed to evaluate the compatibility of crude blends from the thirty individual crude oils. Intercriteria analysis revealed the relations between the different compatibility indices, and the different petroleum properties. Tetra-plot was employed to model crude blend compatibility. The ratio of solubility blending number to insolubility number was found to best describe the desalting efficiency, and therefore could be considered as the compatible index that best models the crude oil blend compatibility. Density of crude oil and the n-heptane dilution test seem to be sufficient to model, and predict the compatibility of crude blends.

Keywords: crude oil; crude oil characterization; compatibility; compatibility modelling; intercriteria analysis; desalting efficiency (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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