Issues of designing a pipeline network, being diagnosed, which provides distribution of oil coming to the oil terminal to refineries
UDC: 621.6
DOI: -
Authors:
BAGIROV A.F.
1
1 National Aerospace Agency, Baku, Republic of Azerbaijan
Keywords: terminal, crude oil, pipeline, negative pressure wave method, optimization
Annotation:
The author of the article consider the issues of designing a distribution network for incoming crude oil to separate oil refineries that have their own pipelines for transporting oil from the terminal, the throughput of which corresponds to the production capacities of these enterprises located at different distances from the terminal. It is assumed that pipe diagnostics will be performed based on the presence of a leak using the negative pressure wave method. It is determined that the problem of optimal distribution of crude oil coming to the terminal by the cluster of oil refineries should be solved separately, taking into account the following conditions: one or several types of oil come from the terminal (the specific heat capacity of crude oil C is different); the pipelines of these enterprises differ in diameter D and distance x to the terminal. Three problems of optimization of pairwise connections among the showings of the triad elements (C, D, x) are formulated and solved, which made it possible to determine those undesirable connections of the selected elements of the pairs, at which the oil in the pipelines can be cooled maximally. A significant change of temperature, in turn, causes unacceptable changes of speed of negative pressure wave propagation. As a result, the error of locating leaks using the negative pressure wave method can reach an unacceptable level.
Bibliography:
1. Attia A.M., Ghaithan A.M., Duffuaa S.O. A multi-objective optimization model for tactical planning of upstream oil & gas supply chains // Computers & Chemical Engineering. – 2019. – Vol. 128. – P. 216–227. – DOI: 10.1016/j.compchemeng.2019.06.016
2. Evolutionary multi-objective optimization of environmental indicators of integrated crude oil supply chain under uncertainty / A. Azadeh, F. Shafiee, R. Yazdanparast [et al.] // J. of Cleaner Production. – 2017. – Vol. 152. – P. 295–311. – DOI: 10.1016/j.jclepro.2017.03.105
3. State of the art technologies, measures and potential for reducing GHG emissions from shipping – A review / E.A. Bouman, E. Lindstad, A.I. Rialland, A.H. Stromman // Transportation Research. Part D. Transport and Environment. – 2017. – Vol. 52, Part A. – P. 408–421. – DOI: 10.1016/j.trd.2017.03.022
4. Inspection and monitoring systems subsea pipelines: A review paper / M. Ho, S. El-Borgi, D. Patil, Song Gangbing // Structural Health Monitoring. – 2020. – Vol. 19, Issue 2. – P. 606–645. – DOI: 10.1177/1475921719837718
5. Prediction of leak flow rate in plastic water distribution pipes using vibro-acoustic measurements / J.D. Butterfield, V. Meruane, R.P. Collins [et al.] // Structural Health Monitoring. – 2018. – Vol. 17, Issue 4. – P. 959–970. – DOI: 10.1177/1475921717723881
6. Underground pipeline committee of CACP. National underground pipeline accident statistics and analysis report. – 2020. – URL: http://www.infzm.com/contents/196940
7. Yang Qibin, Sun Wei. Systematic Analysis on Pipeline Leak Detection and Location // Int. Conf. on Artificial Intelligence and Software Engineering. – Atlantis Press, 2013. – P. 125–131. – DOI: 10.2991/icaise.2013.27
8. Leakage Localization for Long Distance Pipeline Based on Compressive Sensing / Li Juan, Wang Cong, Zheng Qiang, Qian Zhihong // IEEE Sensors J. – 2019. – Vol. 19, Issue 16. – P. 6795–6801. – DOI: 10.1109/JSEN.2019.2912157
9. Leakage detection techniques for oil and gas pipelines: State-of-the-art / Lu Hongfang, T. Iseley, S. Behbahani, Fu Lingdi // Tunneling and Underground Space Technology. – 2020. – Vol. 98. – P. 103249. – DOI: 10.1016/j.tust.2019.103249
10. FRF-Based Transient Wave Analysis for the Viscoelastic Parameters Identification and Leak Detection in Water-Filled Plastic Pipes / Pan Bin, Duan Huan-Feng, S. Meniconi, B. Brunone // Mechanical Systems and Signal Processing. – 2021. – Vol. 146. – P. 107056. – DOI: 10.1016/j.ymssp.2020.107056
11. Skripachenko M.P. Interpolyatsiya svoystv mnogokomponentnoy gazozhidkostnoy smesi dlya gidravlicheskikh raschetov truboprovodov // Avtomatizatsiya i informatizatsiya TEK. – 2024. – № 1(606). – S. 59–66.