Arctic: ecology and economy
ISSN 2223-4594 | ISSN 2949-110X
Home Archive of journals Volume 13, No. 2, 2023 Problem-solving technique for transporting aviation fuel to remote airfields in the Arctic regions of Yakutia and Far North


JOURNAL: Volume 13, No. 2, 2023, p. 271-279

HEADING: Regional problems

AUTHORS: Gorbunov, V.P., Struchkova, A..

ORGANIZATIONS: . . Ammosov North-Eastern Federal University, JSC Yakutia Airlines

DOI: 10.25283/2223-4594-2023-2-271-279

UDC: 656.02

The article was received on: 07.11.2022

Keywords: Far North, Arctic zone, aviation fuel transportation method, electrical properties and conductivity, fuel transshipment, tank containers, multimodality, reliability and quality

Bibliographic description: Gorbunov, V.P., Struchkova, A.. Problem-solving technique for transporting aviation fuel to remote airfields in the Arctic regions of Yakutia and Far North. Arktika: ekologiya i ekonomika. [Arctic: Ecology and Economy], 2023, vol. 13, no. 2, pp. 271-279. DOI: 10.25283/2223-4594-2023-2-271-279. (In Russian).


The main purpose of the publication is to study a technologically new and logistically optimal method for transporting aviation fuel to airports in the Far North and the Arctic zone of the Russian Federation, ensuring the preservation of quality characteristics during its delivery. Along with the search for solutions to the problem of the final cost, the authors reveal that, in addition to the aging infrastructure of fuel filling complexes and delivery vehicles at many airports, the most critical for maintaining the quality of the supplied fuel is its multi-stage transportation from refineries to destination airports in the Arctic zone with the inevitable multiple changes of modes of transport, rail, river and automobile. At the same time, multiple transshipment of fuel with its transfer from one container to another leads to a loss of the quality indicators of aviation kerosene, namely, it worsens the electrical properties — the electrical conductivity parameter. The paper touches on an example of solving the final cost of fuel by using the correlation-regression analysis. An analysis of the obtained values allowed the authors to conclude that, on average, the most influential factor is the cost of fuel transportation. As an alternative solution to optimize supply logistics of aviation fuel to remote airports of the Far North and the Arctic zone, the authors propose a method of transportation using tank containers. The use of tank containers reduces the number of fuel transshipments from 8-9 to 3-4, which halves the probability of fuel quality loss, while maintaining its electrical conductivity parameter within acceptable values. The authors demonstrate the technological advantages of the proposed method, such as multimodality, when one tank container can be used by different modes of transport (auto, railway, water transport), efficiency as tank containers can be reused many times, due to the cost-effectiveness and ease of use. Made of stainless steel, the containers can be equipped with a steam heating system and a layer of thermal insulation, ensuring reliability and quality when used in low temperatures of the Far North and the Arctic.

Finance info: We express our gratitude to the employees of Yakutia Airlines JSC, namely the Fleet Management Department and the Fuel Supply Department for the method development, providing information and graphic materials.

  1. Gryadunov K. I. Operational properties of aviation fuels and lubricants. Texts of lectures. Moscow, Publ. House of the Zhukovsky Academy, 2021, 184 p. (In Russian).       
  2. Gorbunov V. P. Method of correlation and regression analysis of the assessment of factors of aviation fuel supply to remote Arctic regions of the North. Scientific Bull. of the Moscow State Technical Univ. GA. 2022, vol. 25, no. 6, pp. 12—24. (In Russian).
  3. Gorbunov V. P. Prospects for the development of regional aviation in the Far North and the tasks of increasing the transport accessibility of the Arctic and the Far East. Arctic: Ecology and Economy, 2022, vol. 12, no. 3, . 367—375. DOI: 10.25283/2223-4594-2022-3-367-375. (In Russian).
  4. Gorshkova I. V., Klochkov V. V. Economic problems of managing the development of the air transport network in sparsely populated regions of Russia. Moscow, Management of large systems, 2010, iss. 30, pp. 115—134. (In Russian).
  5. Konyaev E. A., Gryadunov K. I. Operational properties of aviation fuel and lubricants: textbook. Moscow, MGTU GA, 2016, 80 p. (In Russian).
  6. Dubovkin N. F., Malanicheva V. G., Massur Yu. P., Fedorov E. P. Physico-chemical and operational properties of fuels. Handbook. Moscow, Chemistry, 1985, pp. 87—91. (In Russian).
  7. Gorbunov V. P., Ruchlinskii V. M., Savvina A. M. The Role of natural and anthropogenic factors in the present state of regional aviation in the Arctic and the far North. Science and Business: ways of development, 2020, no. 6. (In Russian).
  8. Spirkin V. G. Chemmotology of fuels. Study guide. Ed. by I. G. Fuchs. Moscow, SUE “Oil and Gas” of Gubkin Russian State Univ. of Oil and Gas, 2002, pp. 164. (In Russian).
  9. Jet fuels. Necton-Sia. Available at: https://necton-sea.ru. (In Russian).
  10. Shvedov A. S. Interest-bearing financial instruments: valuation and hedging. Moscow, Higher School of Economics, 2001, 152 p. (In Russian).
  11. Vdovenkov A. A. The use of hedging in the airline operations to insure the risks of changes in the price of aviation fuel. Scientific Bull. of MSTUCA, 2007, no. 118, pp. 153—155. (In Russian).
  12. Kharitonova D. E. Correlation and regression analysis in economics. Contentus, 2016, no. 8 (49), pp. 176—179. (In Russian).
  13. Strizhov V. V., Krymova E. A. Methods of selection of regression models. Moscow, 2010, 60 p. (In Russian).
  14. Draper N., Smith H. Applied regression analysis. Moscow, Williams Publish. House, 2012, 350 p.
  15. Dhamodharavadhani S., Rathipriya R. Variable Selection Method for Regression Models Using Computational Intelligence Techniques. Periyar Univ., India. OCEM J. of Management, Technology & Social Science, 2020, pp. 416—436.
  16. Magnello M. Karl Pearson and the Establishment of Mathematical Statistics. Intern. Statistical Rev., 2009, pp. 3—29.
  17. Obuchowski N A. Multivariate statistical methods. Am. J. Roentgenol., 2005, 185 (2), pp. 299—309.
  18. How tank containers are transported by different modes of transport. Lawtrans. Available at: https://lawtrans.ru/polezno/perevozka-tank-konteynerov. (In Russian).
  19. Tank-plus company. Available at: https://tank-container.ru. (In Russian).
  20. Transportation of aviation fuel by tank containers. Available at: https://glinetrans.ru/services/konteynernye-perevozki/avia-topliva. (In Russian).

Download »

© 2011-2024 Arctic: ecology and economy
DOI 10.25283/2223-4594