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Review of Information Engineering and Applications

March 2019, Volume 6, 1, pp 8-16

Estimation of Viscosity of Azerbaijan Crude Oil

Yadigar N. Imamverdiyev

,

Makrufa Sh. Hajirahimova

Yadigar N. Imamverdiyev 1 Makrufa Sh. Hajirahimova 1 ,
;

  1. Institute of Information Technology of Azerbaijan National Academy of Sciences, B.Vahabzade str. 9A, Baku, AZ1141, Azerbaijan 1

Pages: 8-16

DOI: 10.18488/journal.79.2019.61.8.16

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Article History:

Received: 24 October, 2018
Revised: 30 November, 2018
Accepted: 04 January, 2019
Published: 11 February, 2019


Abstract:

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 Beggs-Robinson, 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 Beggs-Robinson 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.
Contribution/ Originality
All authors contributed equally to the conception and design of the study.

Keywords:

Correlation, Pressure, Volume, Temperature, Oil viscosity, Dead oil, Solution gas oil ratio, Bubble pressure point.

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Funding:

This work was supported by the SOCAR Science Foundation of Azerbaijan (Grant 16LR - AMEA)

Competing Interests:

The authors declare that they have no competing interests.

Acknowledgement:


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