Analysis on PVT test and empirical formula of Bohai heavy oil with different types of dissolved gases

Accurate prediction of PVT properties of heavy oil system is of great significance to the design of injection–production parameters and dynamic analysis of multi-thermal fluid stimulation in heavy oil reservoir. The saturation pressure and viscosity of Bohai heavy oil system at different temperature...

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Bibliographic Details
Published inJournal of petroleum exploration and production technology Vol. 10; no. 8; pp. 3609 - 3617
Main Authors Liu, Yigang, Yuan, Yingzhong, Zhou, Fayuan, Qi, Zhilin, Zhang, Wei, Zhang, Hua, Wang, Qiuxia
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.12.2020
SpringerOpen
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Summary:Accurate prediction of PVT properties of heavy oil system is of great significance to the design of injection–production parameters and dynamic analysis of multi-thermal fluid stimulation in heavy oil reservoir. The saturation pressure and viscosity of Bohai heavy oil system at different temperature and different gas oil ratio conditions were tested and analyzed. The functional relations of regression equations for saturation pressure and viscosity are constructed based on classical PVT correlations, but the parameters in the equations different from classical correlations are obtained from present experiment test data with multiple regression method. The empirical formula analysis results indicate that the 2-parameter equation can almost completely fit the experimental data, but its application scope is narrow. Although the 4-parameter equation has an extensive adaptability, its fitting accuracy is very low. The 3-parameter equation can not only better fit the saturation pressure and viscosity of heavy oil for the same gas under different dissolved gas oil ratios and different temperatures, but also has a wide application range. It is recommended to use the 3-parameter equation for physical property analysis and calculation of heavy oil. The research results provide a basis for the accurate prediction of heavy oil PVT parameters.
ISSN:2190-0558
2190-0566
DOI:10.1007/s13202-020-00973-7