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UOT 004
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ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Imamverdiyev , Y.N. Estimation of Viscosity of Azerbaijan Crude Oil / Y.N. Imamverdiyev , M.S. Hajirahimova // Review of Information Engineering and Applications. - 2019. - N: 1 vol6. - P. 8-16. | Annotasiya | In this study, the prediction issue of oil viscosity, on oil samples taken from Guneshli
oil field of Azerbaijan has been viewed applying empirical correlations as BeggsRobinson, Labedi, modified Kartoatmodjo, Elsharkawy and Alikhan, Al-Khafaji. 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.
The result of prediction has been evaluated using statistic functions as absolute average
deviation (AAD), mean absolute error (MAE), correlation coefficient, root mean square
error (RMSE). 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.
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