Abstract
In recent decades, the high cost of carrying oil and gas via pipelines has compelled analysts to develop optimization methods to assist pipeline managers in operating pipeline grids at the lowest possible cost. The network and operations of crude oil pipelines are very complicated. Pumps powered by crude oil engines are utilized in most situations, with gas-powered generators or turbines used in a few instances. Energy and heating expenses account for about 45–65% of the operational costs incurred in transporting crude oil to refineries. Pour point depressing chemicals, DRA dosage, and other expenses are also significant. Many optimization studies have been conducted on crude oil pipelines, including design, operations, network, scheduling, and maintenance, among other areas. Most works utilize classical algorithms in the early stages and dynamic algorithms in the later stages; however, contemporary evolutionary algorithms have become popular for optimizing oil pipeline transportation optimization. The article first reviews the efforts made by researchers in the design stage of the pipeline. Further, the optimization strategy followed in pipeline operations is considered. Later the rheological properties of waxy crude oil along with optimization strategy have been discussed. Furthermore, the difficulties associated with improving crude oil pipeline operations and the potential for future optimization in the pipeline sector are addressed in detail. This research will benefit crude oil pipeline operators, engineers, and researchers in the relevant area by providing a comprehensive understanding of the many kinds of optimizations that may be carried out in complicated oil transport operations.
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References
History of gas and oil pipelines (2011) [online]. Available http://www.pipelineknowledge.com/
This Week in Oil and Gas History: October 10–16. Greasebook. https://greasebook.com/blog/this-week-oil-gas-history-october-10/. Accessed Oct 17, 2021
Oil Producing Countries 2021. https://worldpopulationreview.com/country-rankings/oil-producing-countries. Accessed Oct 17, 2021
Oil Consumption By Country (2021). https://worldpopulationreview.com/country-rankings/oil-consumption-by-country. Accessed Oct 17, 2021
Oil and Gas Pipelines: GlobalData Report Looks at Capacity and Spending. https://www.offshore-technology.com/comment/north-america-has-the-highest-oil-and-gas-pipeline-length-globally/. Accessed Oct 17, 2021
Reports and Studies: Petroleum Planning and Analysis Cell. https://www.ppac.gov.in/content/5_1_ReportStudies.aspx. Accessed Oct 18, 2021
E.S.: Liquid Pipeline Hydraulics. CRC Press (2004)
Wang, B., et al.: Sustainable crude oil transportation: design optimization for pipelines considering thermal and hydraulic energy consumption. Chem. Eng. Res. Des. 151, 23–39 (2019). https://doi.org/10.1016/j.cherd.2019.07.034
Wang, B., Yuan, M., Yan, Y., Yang, K., Zhang, H., Liang, Y.: Optimal design of an oil pipeline with a large-slope section. Eng. Optim. 51(9), 1480–1494 (2019). https://doi.org/10.1080/0305215X.2018.1525710
Rizwan, M., Al-Otaibi, M.F., Al-Khaledi, S.: Crude Oil Network Modeling, Simulation and Optimization: Novel Approach and Operational Benefits (2013) [online]. Available http://www.asme.org/about-asme/terms-of-use
Hongsheng, C., Changchun, W., Xiaokai, X.: Engineering-economic characteristics of hot crude oil pipelines. Proc. Biennial Int. Pipeline Conf. IPC 1, 205–211 (2009). https://doi.org/10.1115/IPC2008-64590
Abdulnabi, I.O.N.: Optimization of Centrifugal Pumps Operation for Least Cost and Maximum MSc by Research, Apr 2008
Joshi, R.R.: Modeling and Simulation of Wax Deposition in Crude Oil Pipeline, Nov 2017 [online]. Available http://www.irphouse.com
Abdulzahra, M., Khazaali, A.: Optimization Procedure to Identify Blockages in Pipeline Networks via non-invasive Technique based on Genetic Algorithms (2017) [online]. Available http://preserve.lehigh.edu/etd
Abdou, H.A.M., Company, A.P.: Optimization Consumption for Diesel Fuel Through Crude Oil Pumping in Western Desert, Egypt (2016)
Joseph, A., Ajienka, J.A.: An economic approach to the handling of waxy crude oil 3(1), 14–25 (2015)
Lara, J., Cuero, P., Reyes, C., Unriza, J.C.: PSIG 1524 Pipeline Optimization Using DRA Degradation Models. Struct. Modif. Over 41, 1–8 (2015)
Eskin, D., Ratulowski, J., Akbarzadeh, K.: Modelling wax deposition in oil transport pipelines. Can. J. Chem. Eng. 92(6), 973–988 (2014). https://doi.org/10.1002/cjce.21991
Yang, M., Huang, Y., Dai, Y.H., Li, B.: An efficient global optimization algorithm for heated oil pipeline problems. Ind. Eng. Chem. Res. 59(14), 6638–6649 (2020). https://doi.org/10.1021/acs.iecr.0c00039
Li, B., He, M., Kang, Y., Shi, H., Zhao, J., Liu, Y.: A hybrid meta-heuristic solution to operation optimization of hot oil pipeline. IOP Conf. Ser. Mater. Sci. Eng. 646(1). https://doi.org/10.1088/1757-899X/646/1/012031
Bekibayev, T.T., Zhapbasbayev, U.K., Ramazanova, G.I.: Optimization of oil-mixture ‘hot’ pumping in main oil pipelines. J. Phys. Conf. Ser. 894(1). https://doi.org/10.1088/1742-6596/894/1/012127
Liu, E., Li, C., Yang, L., Liu, S., Wu, M., Wang, D.: Research on the optimal energy consumption of oil pipeline. J. Environ. Biol. (2015)
Liu, Y., Cheng, Q., Gan, Y., Wang, Y., Li, Z., Zhao, J.: Multi-objective optimization of energy consumption in crude oil pipeline transportation system operation based on exergy loss analysis. Neurocomputing 332, 100–110 (2019). https://doi.org/10.1016/j.neucom.2018.12.022
Wu, Y.: A study on optimal operation and energy saving of super heavy oil pipeline. Proc. Int. Conf. Comput. Distrib. Control Intell. Environ. Monit. CDCIEM 2011, 400–403 (2011). https://doi.org/10.1109/CDCIEM.2011.46
Chen, J., Zhang, J., Li, H.: Hydraulic characteristics of pipelines transporting hot waxy crudes. Proc. Biennial Int. Pipeline Conf. IPC 1, 723–727 (2007). https://doi.org/10.1115/IPC2006-10259
Changchun, W., Dafan, Y.: Optimized operation of hot oil pipelines. IFAC Proc. 25(18), 347–352 (1992). https://doi.org/10.1016/s1474-6670(17)49995-2
Liu, E., Peng, Y., Yi, Y., Lv, L., Qiao, W., Azimi, M.: Research on the steady-state operation optimization technology of oil pipeline. Energy Sci. Eng. 8(11), 4064–4081 (2020). https://doi.org/10.1002/ese3.795
Gu, L.: Optimization of long-distance oil pipeline production operation scheme. IOP Conf. Ser. Earth Environ. Sci. 772(1). https://doi.org/10.1088/1755-1315/772/1/012081
Zhonghua, D.: Analysis on influencing factors of buried hot oil pipeline. Case Stud. Therm. Eng. 16 (2019). https://doi.org/10.1016/j.csite.2019.100558
Yang, M., Huang, Y., Dai, Y.-H., Li, B.: Solving Heated Oil Pipeline Problems Via Mixed Integer Nonlinear Programming Approach, Jul 2019 [online]. Available http://arxiv.org/abs/1907.10812
Yang, K., Liu, Y.: Optimization of production operation scheme in the transportation process of different proportions of commingled crude oil. J. Eng. Sci. Technol. Rev. 10(6), 171–178 (2017). https://doi.org/10.25103/jestr.106.22
Zhou, M., Zhang, Y., Jin, S.: Dynamic optimization of heated oil pipeline operation using PSO-DE algorithm. Measur. J. Int. Measur.Confed. 59, 344–351 (2015). https://doi.org/10.1016/j.measurement.2014.09.071
Wang, Y., Lu, J.: Optimization of China crude oil transportation network with genetic ant colony algorithm. Information (Switzerland) 6(3), 467–480 (2015). https://doi.org/10.3390/info6030467
Yu, Y., Wu, C., Xing, X., Zuo, L.: Energy Saving for a Chinese Crude Oil Pipeline-ASME/Terms-of-Use, California, USA, Jul 2014 [online]. Available http://www.asme.org/about-asme/terms-of-use
Wang, Y., Liu, Y., Zhao, J., Wei, L.X.: Energy consumption analysis and comprehensive optimization in oil pipeline system. Adv. Mater. Res. 648, 251–254 (2013). https://doi.org/10.4028/www.scientific.net/AMR.648.251
Abbasi, E., Garousi, V.: Multi-objective Optimization of both Pumping Energy and Maintenance Costs in Oil Pipeline Networks using Genetic Algorithms (2010) [online]. Available https://www.researchgate.net/publication/221616469
Yu, B., et al.: Numerical simulation of a buried hot crude oil pipeline under normal operation. Appl. Therm. Eng. 30(17–18), 2670–2679 (2010). https://doi.org/10.1016/j.applthermaleng.2010.07.016
Li, C., Wu, X., Jia, W.: Research of heated oil pipeline shutdown and restart process based on VB and MATLAB. Int. J. Mod. Educ. Comput. Sci. 2(2), 18–24 (2010). https://doi.org/10.5815/ijmecs.2010.02.03
Stanley-Telvent, G., Energy, K.T., Dzierwa-Telvent, R.: Power Optimization in Liquid Pipelines (2007)
Camacho, E.F., Ridao, M.A., Ternero, J.A., Rodriguez, J.M.: Optimal operation of pipeline transportation systems. IFAC Symp. Ser. Proc. Triennial World Congr. 5(8), 455–460 (1991). https://doi.org/10.1016/s1474-6670(17)51776-0
Barreto, C.V., Pires, L.F.G., Azevedo, L.F.A.: Optimization of pump energy consumption in oil pipelines. Proc. Biennial Int. Pipeline Conf. IPC 1, 23–27 (2004). https://doi.org/10.1115/ipc2004-0385
Li, F., Liu, Q., Guo, X., Xiao, J.: A Survey of Optimization Method for Oil-gas Pipeline Network Layout (2015)
Carter, R., Carter, R.G.: Pipeline Optimization: Dynamic Programming After 30 Years (1998)
Wang, Y., Tian, C.H., Yan, J.C., Huang, J.: A survey on oil/gas pipeline optimization: problems, methods and challenges. Proc. 2012 IEEE Int. Conf. Serv. Oper. Logist. Inform. SOLI 2012, X, 150–155 (2012). https://doi.org/10.1109/SOLI.2012.6273521
Niaei, M.S., Iranmanesh, S.H., Turabi, S.A.: A review of mathematical optimization applications in oil and gas upstream and midstream management. Int. J. Energy Stud. 2, 143–154 (2013)
Mercado, R., Roger, Z.: Optimization problems in natural gas transportation systems: a state of the art review. Appl. Energy 147(2015), 536–555 (2015)
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Sarkar, A., Arya, A.K. (2022). A Survey on Optimization Parameters and Techniques for Crude Oil Pipeline Transportation. In: Das, B., Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Modeling, Simulation and Optimization. Smart Innovation, Systems and Technologies, vol 292. Springer, Singapore. https://doi.org/10.1007/978-981-19-0836-1_43
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