Regression analysis of indicators of a numerical experiment to determine the cooling time of oil
https://doi.org/10.31660/0445-0108-2020-2-89-97
Abstract
The article performed the processing of the results of a computer experiment to determine the cooling time of oil in a stopped oil pipeline. We proposed a calculation model in previous works that allows you to simulate the process of cooling oil.
There was a need to verify the previously obtained results when conducting a laboratory experiment on a stand with soil. To conduct the experiment, it was necessary to conduct the planning of the experiment. The factors affecting the cooling time of oil in the oil pipeline, which will vary in the proposed experiment, are determined, empirical relationships are established. A regression analysis was carried out, and the dispersion homogeneity was checked using the Cochren criterion. The estimates of reproducibility variances are calculated. The adequacy hypothesis was tested using the Fisher criterion. Significant regression coefficients are established.
About the Authors
A. U. Yakupov
Industrial University of Tyumen
Russian Federation
Russian Federation
Azamat U. Yakupov, Postgraduate at the Department of Transportation of Hydrocarbon Resources
Tyumen
D. A. Cherentsov
Industrial University of Tyumen
Russian Federation
Russian Federation
Dmitry A. Cherentsov, Candidate of Engineering, Associate Professor at the Department of Transportation of Hydrocarbon Resources
Tyumen
K. S. Voronin
Industrial University of Tyumen
Russian Federation
Russian Federation
Konstantin S. Voronin, Candidate of Engineering, Associate Professor at the Department of Transportation of Hydrocarbon Resources
Tyumen
Yu. D. Zemenkov
Industrial University of Tyumen
Russian Federation
Russian Federation
Yuri D. Zemenkov, Doctor of Engineering, Professor, Head of the Department of Transportation of Hydrocarbon Resources
Tyumen
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Review
For citations:
Yakupov A.U., Cherentsov D.A., Voronin K.S., Zemenkov Yu.D. Regression analysis of indicators of a numerical experiment to determine the cooling time of oil. Oil and Gas Studies. 2020;(2):89-97. (In Russ.) https://doi.org/10.31660/0445-0108-2020-2-89-97
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