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Biblioqrafik təsvir | Imamverdiyev , Y.N. Evaluation of Oil Viscosity Based Various Empirical Correlations for Azerbaijan Crude Oils / Y.N. Imamverdiyev , M.S. Hajirahimova // I.J. Information Technology and Computer Science. - 2019. - N: 6. - P. 18-27. | Annotasiya | —In the oil industry, the evaluation of oil
viscosity is one of the important issues. Generally, the
viscosity of crude oil depends on pressure and
temperature. In this study, the prediction issue of oil
viscosity has been viewed applying empirical correlations
as Beggs-Robinson, Labedi, modified Kartoatmodjo,
Elsharkawy and Alikhan, Al-Khafaji. Original field data
reports have been obtained from Guneshli oil field of
Azerbaijan sector of Caspian Basin. The correlation
models used in the evaluation of viscosity of Azerbaijan
oil have been implemented in the Python software
environment. The obtained values on empirical
correlations have been compared to experimental data
obtained from Guneshli oil field. Statistical analysis in
terms of percent absolute deviation (% AD) and the
percent absolute average deviation (% AAD), mean
absolute error (% MAE), correlation coefficient (%
2 R
),
root mean square error (% RMSE) are used to subject the
evaluation of the viscosity correlations. According to
statistical analysis, it has been known that the BeggsRobinson model has shown the lowest value on AAD
(10.5614%), MAE (12.4427 %), RMSE (20.0853 %). The
Labedi model has presented the worst result on every four
criterions. Even though the Elsharkawy-Alikhan model
has presented the highest result (99.9272%) on
correlation coefficient, in the evaluation of viscosity of
Azerbaijan crude oil, the Beggs-Robinson model can be
considered more acceptable. | Elektron variant | Elektron variant |
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