Article Type
Research Paper
Abstract
Accurate determination of crude oil properties such as bubble point pressure and viscosity is essential for reservoir engineering, production optimization, and hydrocarbon transportation. Although numerous empirical correlations have been developed worldwide, their applicability to region-specific crude oils remains uncertain. In this study, more than 40 widely used correlation methods were evaluated against 20 experimentally measured PVT data sets from Kazakhstan oilfields. Statistical error analysis, including average absolute relative error (AARE) and standard deviation, was applied to compare predictive performance. The results show that for bubble point pressure, Gomaa (2016), Velarde et al. (1997), and Mehran et al. (2006) correlations provided the highest accuracy, while for viscosity, Dindoruk and Christman (2001), Labedi (1992), and Bennison (1998) correlations were most reliable. Conversely, several correlations demonstrated significant deviations when applied to Kazakhstan crude oils due to differences in reservoir conditions and compositional variations. These findings highlight the necessity of region-specific validation of correlation methods. The study further identifies the most suitable correlations for Kazakhstan oilfields and provides insights into their future optimization for improved petroleum engineering applications
Keywords
crude oil properties; bubble point pressure; viscosity; correlation methods; Kazakhstan oilfields, ; PVT data analysis
Recommended Citation
Delikesheva, D.N.; Ismailova, J.A.; Zhumakhanova, N.E.; El-Sayed, Negim; Zupir, S.; Ewies, Ewies F.; and Gussenov, I.
(2026)
"Optimization and Evaluation of Correlation Methods for Predicting Bubble Point Pressure and Viscosity of Kazakhstan Crude Oils,"
Egyptian Journal of Petroleum: Vol. 35
:
Iss.
2
, Article 12.
Available at: https://doi.org/10.62593/2090-2468.1110
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