Vol. 7 є 3, 2017 p 96-101


Article name, authors, abstract and keyword


Monitoring of processes of oil mixture and flow traffic generation in the main oil pipeline system

Anton A. Shmatkov a, Yulia N. Oludina a, Alla A. Grishakova b

a Pipeline Transport Institute, LLC (Transneft R&D, LLC), 47a, Sevastopolskiy prospect, Moscow, 117186, Russian Federation

b Transneft, 57, Bolshaya Polyanka, Moscow, 119180, Russian Federation


Introduction. Transneft receives oil for transportation from different deposits of Western, Eastern and Central Siberia, Ural, the Volga region, the Extreme North and southern Russia, which is essentially different in quality indicators. The location of production regions and the pipeline system scheme make it impossible to transport oil from certain deposits to the final destination point with preserving its initial quality. The main task during the MP system operation is to maintain regulated and stable quality indicators of oil both for the domestic market and for export.
Algorithm of an on-line monitoring. The article discusses a monitoring algorithm for processes of oil mixture and an approach to calculation of its quality indicators distribution in flow traffic. The mixture process monitoring algorithm consists of several components: a forecast calculation of the oil quality indicators, an analysis of their change, detected deviations between the forecast calculation and actual data, provided recommendations on avoiding deviations. The forecast calculation of the oil quality indicators is the main monitoring component due to a significant impact of the calculation precision on the monitoring results. The forecast calculation is conventionally divided into a long-term and short-term ones. A long-term forecast calculation is performed without taking into account the volumes of tank farms and with assumed averaging of oil quality indicators for sections of the main oil pipeline (MP). The task of the long-term forecasting of quality indicators is reduced to a solution of the classical transportation problem. When carrying out a short-term forecast calculation, the volumes of the tank farms, as well as a change in the oil quality indicators in the MN section shall be taken into account. The present-day scientific sources do not describe setting a task of shortterm forecasting of oil quality indicators, and as a consequence, there are no acceptable ways to solve the problem. The task of short-term forecasting of quality indicators can be reduced to a dynamic transportation task with delays, which, when solved, will increase the accuracy and reduce the difficulty making short-term forecast calculations due them being automated.
Conclusions. Thus, the implementation of the approaches proposed in the article for the calculation of the oil quality indicators distribution in flow traffic and the algorithm for mixture monitoring will allow to increase the efficiency of the operation of oil mixing stations and to ensure the formation of oil mixture in flow traffic with specified quality indicators and their minimum fluctuations. It will in turn contribute to improving the efficiency of oil refining at refineries and ensuring the stability of oil prices.

Keywords: oil, monitoring, oil mixture, flow traffic generation, quality indicators

Reference for citing:
Shmatkov A. A., Oludina Y. N., Grishakova A. A. Monitoring of processes of oil mixture and flow traffic generation in the main oil pipeline system. Naukatekhnol. truboprov. transp. neftiinefteprod. = Science & Technologies: Oil and Oil Products Pipeline Transportation. 2017;3(7):96Ц101.

[1] Evlakhov S. K., Kozobokova N. A. The quality of oil for the pipeline transportation: control system, technologies and monitoring. Moscow: Oil and Gas, 2007. (In Russ.)
[2] Richard Selley, Stephen Sonnenberg. Elements of Petroleum Geology. Academic Press, 2014.
[3] Katsal I. N. Russian oil export - quality aspects and the supply structure. Economy and management issues of the Oil and Gas complex. 2016;(8):18Ц24. (In Russ.)
[4] Katsal I. N. The significance of ESPO pipeline for the Russian economy. Prospects of ESPO brand becoming the marking one in the eastern direction. Science & Technologies: Oil and Oil Products Pipeline Transportation. 2013;(1): 6Ц9. (In Russ.)
[5] Grishanin M., Andronov S., Katsal I., Kozobokova N. Managemen of oil quality: information support. Oil Pipeline Transportation. 2016;(4): 4Ц11. (In Russ.)
[6] Katsal I. N., Lyapin A. Y., Dubovoy E. S., Shmatkov A. A. On generation of oil flow traffic in the oil main pipeline system of Transneft. Science & Technologies: Oil and Oil Products Pipeline Transportation. 2016;(2):92Ц95. (In Russ.)
[7] Pirogov A. N. Rational operation of hydraulically connected main systems: synopsis of a Cand. Sci. (Eng.) thesis: 25.00.19. Moscow, 2008. (In Russ.)
[8] Veliev M. M. Several issues on the optimization of the flow traffic distribution at the oil main pipeline system: synopsis of a Cand. Sci. (Eng.) thesis: 25.00.19. Ufa, 2001. (In Russ.)
[9] Milovidov S. P., Kozlov. P. A. Dynamic transportation task with delays in the network set. Letters of the USSR Academy of Sciences. Technical cybernetics. 1982;(1):211Ц212. (In Russ.)
[10] Blyumin S. L., Kozlov. P. A. Milovidov S. P. Dynamic transportation task with delays. Automatics and telemechanics. 1984;(5)158Ц161. (In Russ.)