Sequential Transportation of Different Oil Batches through the Industrial Pipeline
DOI:
https://doi.org/10.31643/2025/6445.10Keywords:
sequential transportation, batch of oil blends, high-paraffin oil, high-viscosity oil, heating temperature, industrial pipeline.Abstract
In sequential pumping, several liquids with different physical and chemical properties are pumped through one pipeline. The advantages of this method include: using one pipeline to transport different liquids; more complete pipeline loading; and reduced cost of pumping. The paper considers the sequential pumping of two batches of oil blends with different physicochemical properties through an industrial oil pipeline. This is because a batch of high-paraffin oil blend is simultaneously pumped to an oil refinery, and a batch of high-viscosity oil blend is transported further along a pipeline. The difference between the thermal-physical and rheological properties of oil batches imposes a condition on the thermal mode of operation of an industrial pipeline. A mathematical model and algorithm have been created for calculating the sequential transportation of high-paraffin and high-viscosity oil blends. Thermohydraulic calculations of the model show the distribution of hydraulic head, pressure, and temperature of the batches under the operating conditions of pumping units and heating furnaces. The verification and validation of the theoretical analysis was carried out with experimental data measured by the SCADA along the industrial pipeline length. By the thermal mode of sequential pumping, optimal heating temperatures of oil blends were found at the industrial pipeline stations.
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Cui XG, Zhang JJ. The research of heat transfer problem in process of batch transportation of cool and hot oil. Oil Gas Storage and Transportation. 2013; 23(11):15-19. http://dx.doi.org/10.3969/j.issn.1000-8241-D.2004.11.006
Cui X, Dong X, Zhang Z, Sun X, Gu W, Zhang H. The application analysis of batching transportation of cool and hot crude oil for Jinhua pipeline. Journal of Petrochemical Universities. 2015; 28(6):87-92. http://dx.doi.org/10.3969/j.issn.1006-396X.2015.06.016
Han D, Yu B, Wang, Y, Zhao Y, Yu G. BFC-POD-ROM Aided Fast Thermal Scheme Determination for China’s Secondary Dong-Lin Crude Pipeline with Oils Batching Transportation. Energies. 2018; 11(10):2666. https://doi.org/10.3390/en11102666
Yuan Q, Wu CC, Yu B, Han D, Zhang X, Cai L, Sun D. Study on the thermal characteristics of crude oil batch pipelining with differential outlet temperature and inconstant flow rate. Journal of Petroleum Science and Engineering. 2018; 160:519-530. https://doi.org/10.1016/j.petrol.2017.10.074
Liang Y, Zhang N, Jiang X, Zhou J. A feasibility study of light hydrocarbon batching transportation through pipeline networks. Natural Gas Industry. 2014; 34(4):121-124. https://doi.org/10.3787/j.issn.1000-0976.2014.04.020
Yablonsky VS, Yufin VA, Budarov IP. Posledovatelnaya perekachka neftei i nefteproduktov po magistralnym truboprovodam [Sequential pumping of petroleum products and oils through main pipelines]. Moscow: Gostoptekhizdat. 1959. (in Russ.).
Garcia-Hernandez A. Modeling and simulation case study of a batching operation of crude oils in a pipeline system. Pipeline Simulation Interest Group Annual Meeting; 24-27 May 2011. Napa Valley, California, United States, PSIG-1111.
Nechval MV, Novoselov VF, Tugunov PI. Posledovatelnaya perekachka neftei i nefteproduktov [Sequential pumping of oils and oil products through main pipelines]. Мoscow: Nedra. 1976. (in Russ).
Lurie MV, Timofeev FV, Sereda SV. Raskladka smesi pri posledovatelnoi perekachke nefteproduktov [Mix layout for sequential pumping of petroleum products]. Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science and technology of pipeline transport of oil and petroleum products. 2017; 7:42-47. (in Russ.).
Rejowski R, Pinto JM. Scheduling of a multiproduct pipeline system. Computers & Chemical Engineering. 2003; 27(8-9): 1229-1246. https://doi.org/10.1016/S0098-1354(03)00049-8
Li Zh, Liang Y, Liao Q, Zhang B, Zhang H. A review of multiproduct pipeline scheduling: from bibliometric analysis to research framework and future research directions. Journal of Pipeline Science and Engineering. 2021; 1(4):395-406. https://doi.org/10.1016/j.jpse.2021.08.001
Ghenaati SH, Aghaei S. Modeling and MPC-based Method for Planning Transportation of Multiple Oil Products in Pipeline Network. 27th Iranian Conference on Electrical Engineering (ICEE); 30 April - 2 May. Yazd, Iran. 2019, 1145-1150. https://doi.org/10.1109/IranianCEE.2019.8786581
Han D, Yu B, Wang Y, Zhao Y, Yu G. Fast thermal simulation of a heated crude oil pipeline with a BFC-Based POD reduced-order model. Applied Thermal Engineering. 2015; 88:217-229. https://doi.org/10.1016/j.applthermaleng.2014.10.017
Herran A, de la Cruz JM, de Andres B. A mathematical model for planning transportation of multiple petroleum products in a multi-pipeline system. Computers & Chemical Engineering. 2010; 34(5):401-413. https://doi.org/10.1016/j.compchemeng.2009.11.014
Serediuk MD. Methods of hydrodynamic calculation oil pipeline sequential transportation of small batches of various oil. Archives of Materials Science and Engineering. 2022; 117:25-33. https://doi.org/10.5604/01.3001.0016.1394
Wang K, Zhang J-J, Yu B. Optimal heating ratio of batch pipelining of cold and hot crude oils. Journal of China University of Petroleum. (Edition of Natural Science). 2008; 32(5):102-107.
Polania JN, Algarin CR, Fula JG. Predictive-cooperative control for the operation of a centrifugal pump network in a serial multiproduct pipeline system. Ingeniare. 2015; 23:38-49. http://dx.doi.org/10.4067/S0718-33052015000100005
Schlikhting G. Teoriya pogranichnogo sloya [Boundary Layer Theory]. Nauka: Moscow, USSR. 1974. (in Russ.).
Colebrook CF, White CM. Experiments with fluid friction in roughened pipes. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences. 1937; 161:367-381. https://doi.org/10.1098/rspa.1937.0150
Altshul AD. Gidravlicheskie soprotivleniya [Hydraulic resistance]. Moscow: Nedra. 1982. (in Russ.).
Agapkin VM, Krivoshein BL, Yufin VA. Teplovoi i gidravlicheskii raschety truboprovodov dlya nefti i nefteproduktov [Heat and hydrodynamic calculations for oil and oil products pipelines]. Мoscow: Nedra. 1981. (in Russ.).
Bekibayev TT, Zhapbasbayev UK, Ramazanova GI, Bossinov DZh. Oil pipeline hydraulic resistance coefficient identification. Cogent Engineering. 2021; 8:1950303. https://doi.org/10.1080/23311916.2021.1950303
Anderson D, Tannehill JC, Pletcher RH. Computational Fluid Mechanics and Heat Transfer. Boca Raton: CRC Press; 2020. https://doi.org/10.1201/9781351124027
Beysembetov IK, Bekibayev TT, Zhapbasbayev UK, Ramazanova GI, Panfilov M. SmartTran software for transportation of oil JSC KazTransOil. News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences. 2020; 2(330):5-13. https://doi.org/10.32014/2020.2518-170X.25
Zhapbasbayev UK, Ramazanova GI, Bossinov DZh, Kenzhaliyev BK. Flow and heat exchange calculation of waxy oil in the industrial pipeline. Case Studis Thermal Eng. 2021; 26:101007. https://doi.org/10.1016/j.csite.2021.101007
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