Technical Papers
Oct 12, 2023

Locating Blockage and Leak in Piping Systems Based on Valve Stroking

Publication: Journal of Pipeline Systems Engineering and Practice
Volume 15, Issue 1

Abstract

In this paper, numerical simulations were conducted to investigate the detection of blockages and leaks in piping systems, and the method’s applicability was confirmed by comparing it with data from previous studies. The study explores the effects of using pressure waves generated by different valve closing times, closing methods, and openings to detect blockage and leakage locations. The results demonstrate that extending the valve closing time reduces the maximum pressure in the piping system, but it also makes it harder to identify information about blockages and leaks, thus hindering their location. However, a two-stage valve closure can effectively suppress the amplitude of pressure in the pipeline. The wavelet transform method is capable of accurately detecting the location of sudden pressure changes caused by blockages and leaks in the pipeline using various valve regulation methods. Furthermore, when the valve is partially closed, the pressure wave generated will be reflected as it propagates toward the blockage and leakage location, resulting in a significant sudden pressure change at the valve. Finally, this paper confirms the feasibility of using pressure waves generated by partially closed valves and the combined adjustment of two valves to locate blockage and leakage in the piping system.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The authors gratefully acknowledge the financial support provided by the National Science Foundation for Distinguished Young Scholars of China (52009051). The authors gratefully acknowledge the financial support provided by Gansu Province Natural Science Foundation of China (23JRRA800).

References

Ayed, L., Z. Hafsi, S. Elaoud, S. Meniconi, and B. Brunone. 2023. “A transient-based analysis of a leak in a junction of a series pipe system: Mathematical development and numerical modeling.” J. Pipeline Syst. Eng. Pract. 14 (2): 04023009. https://doi.org/10.1061/JPSEA2.PSENG-1418.
Bazargan-Lari, M. R., R. Kerachian, H. Afshar, and N. Bashi-Azghadi. 2013. “Developing an optimal valve closing rule curve for real-time pressure control in pipes.” J. Mech. Sci. Technol. 27 (1): 215–225. https://doi.org/10.1007/s12206-012-1208-7.
Brunone, B. 1999. “Transient test-based technique for leak detection in outfall pipes.” J. Water Resour. Plann. Manage. 125 (5): 302–306. https://doi.org/10.1061/(ASCE)0733-9496(1999)125:5(302).
Brunone, B., S. Meniconi, and C. Capponi. 2018. “Numerical analysis of the transient pressure damping in a single polymeric pipe with a leak.” Urban Water J. 15 (8): 760–768. https://doi.org/10.1080/1573062X.2018.1547772.
Chahardah, C. P., M. M. Fathi, and S. Haghighipour. 2021. “Modeling of transient flows in viscoelastic pipe network with partial blockage.” AQUA Water Infrastruct. Ecosyst. Soc. 70 (6): 832–844. https://doi.org/10.2166/aqua.2021.040.
Chen, T., Z. Ren, C. Xu, and R. Loxton. 2015. “Optimal boundary control for water hammer suppression in fluid transmission pipelines.” Comput. Math. Appl. 69 (4): 275–290. https://doi.org/10.1016/j.camwa.2014.11.008.
Chu, J. W., Y. Liu, Y. C. Song, L. Yang, X. B. Li, K. L. Yan, and J. F. Zhao. 2020a. “Experimental platform for blockage detection and investigation using propagation of pressure pulse waves in a pipeline.” Measurement 160 (Aug): 107877. https://doi.org/10.1016/j.measurement.2020.107877.
Chu, J. W., L. Yang, Y. Liu, Y. C. Song, T. B. Yu, X. Lv, Q. P. Li, and J. F. Zhao. 2020b. “Pressure pulse wave attenuation model coupling waveform distortion and viscous dissipation for blockage detection in pipeline.” Energy Sci. Eng. 8 (1): 260–265. https://doi.org/10.1002/ese3.435.
Daude, F., A. S. Tijsseling, and P. Galon. 2018. “Numerical investigations of water-hammer with column-separation induced by vaporous cavitation using a one-dimensional finite-volume approach.” J. Fluids Struct. 83 (Nov): 91–118. https://doi.org/10.1016/j.jfluidstructs.2018.08.014.
Diao, X., Z. Chi, J. Jiang, A. Mebarki, L. Ni, Z. Wang, and Y. Hao. 2020. “Leak detection and location of flanged pipes: An integrated approach of principle component analysis and guided wave mode.” Saf. Sci. 129 (Sep): 104809. https://doi.org/10.1016/j.ssci.2020.104809.
Dong, H., L. Zhang, Z. Ling, J. Zhao, and Y. Song. 2019. “The controlling factors and ion exclusion mechanism of hydrate-based pollutant removal.” ACS Sustainable Chem. Eng. 7 (8): 7932–7940. https://doi.org/10.1021/acssuschemeng.9b00651.
Du, X.-X., M. F. Lambert, L. Chen, E. J. Hu, and W. Xi. 2020. “Pipe burst detection, localization, and quantification using the transient pressure damping method.” J. Hydraul. Eng. 146 (11): 04020077. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001810.
Duan, H.-F., P. J. Lee, M. S. Ghidaoui, and Y.-K. Tung. 2012. “Extended blockage detection in pipelines by using the system frequency response analysis.” J. Water Resour. Plann. Manage. 138 (1): 55–62. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000145.
Ferrante, M., B. Brunone, and S. Meniconi. 2007. “Wavelets for the analysis of transient pressure signals for leak detection.” J. Hydraul. Eng. 133 (11): 1274–1282. https://doi.org/10.1061/(ASCE)0733-9429(2007)133:11(1274).
Fu, G., L. Zhou, J. Wang, and M. Shi. 2018. “Analysis of an explosion accident at Dangyang Power Plant in Hubei, China: Causes and lessons learned.” Saf. Sci. 102 (Feb): 134–143. https://doi.org/10.1016/j.ssci.2017.10.010.
Gong, J., A. C. Zecchin, M. F. Lambert, and A. R. Simpson. 2016. “Determination of the creep function of viscoelastic pipelines using system resonant frequencies with hydraulic transient analysis.” J. Hydraul. Eng. 142 (9): 04016023. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001149.
Guo, X. L., K. L. Yang, Y. X. Guo, T. Wang, and H. Fu. 2011. “Transient pressure rise method for leak detection in pipeline systems.” [In Chinese.] J. Basic Sci. Eng. 9 (1): 20–28.
Haghighi, A., and H. M. Ramos. 2010. “Review of pipeline integrity management practices.” Int. J. Press. Vessels Pip. 87 (7): 373–380. https://doi.org/10.1016/j.ijpvp.2010.04.003.
Haghighi, A., and H. M. Ramos. 2012. “Detection of leakage freshwater and friction factor calibration in drinking networks using central force optimization.” Water Resour. Manage. 26 (8): 2347–2363. https://doi.org/10.1007/s11269-012-0020-6.
Korlapati, N. V. S., F. Khan, Q. Noor, S. Mirza, and S. Vaddiraju. 2022. “Review and analysis of pipeline leak detection methods.” J. Pipeline Sci. Eng. 2 (4): 100074. https://doi.org/10.1016/j.jpse.2022.100074.
Lee, P. J., M. F. Lambert, A. R. Simpson, J. P. Vítkovský, and J. Liggett. 2006. “Experimental verification of the frequency response method for pipeline leak detection.” J. Hydraul. Res. 44 (5): 693–707. https://doi.org/10.1080/00221686.2006.9521718.
Lee, P. J., and J. P. Vítkovský. 2008. “Discussion of ‘Detection of partial blockage in single pipelines’ by P. K. Mohapatra, M. H. Chaudhry, A. A. Kassem, and J. Moloo.” J. Hydraul. Eng. 134 (6): 874–876. https://doi.org/10.1061/(ASCE)0733-9429(2008)134:6(874).
Lee, P. J., and J. P. Vítkovský. 2010. “Quantifying linearization error when modeling fluid pipeline transients using the frequency response method.” J. Hydraul. Eng. 136 (10): 831–836. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000246.
Lee, P. J., J. P. Vítkovský, M. F. Lambert, A. R. Simpson, and J. A. Liggett. 2002. “Leak detection in pipelines using an inverse resonance method.” In Proc., 2002 Conf. on Water Resources Planning and Management. Reston, VA: ASCE.
Lee, P. J., J. P. Vítkovský, M. F. Lambert, A. R. Simpson, and J. A. Liggett. 2003. “Frequency response coding for the location of leaks in single pipeline systems.” In Proc., Int. Conf. on Pumps, Electromechanical Devices and Systems Applied to Urban Water Management. Rotterdam, Netherlands: Balkema.
Lee, P. J., J. P. Vítkovský, M. F. Lambert, A. R. Simpson, and J. A. Liggett. 2005. “Leak location using the pattern of the frequency response diagram in pipelines: A numerical study.” J. Sound Vib. 284 (3): 1051–1073. https://doi.org/10.1016/j.jsv.2004.07.023.
Lee, P. J., J. P. Vítkovský, M. F. Lambert, A. R. Simpson, and J. A. Liggett. 2008. “Discrete blockage detection in pipelines using the frequency response diagram: Numerical study.” J. Hydraul. Eng. 134 (5): 658–663. https://doi.org/10.1061/(ASCE)0733-9429(2008)134:5(658).
Liu, E. B., C. J. Li, X. D. Liu, and S. B. Peng. 2009. “Research on oil and gas pipeline blockage detection and location technology.” [In Chinese.] J. Harbin Inst. Technol. 41 (1): 204–206.
Ma, D., W. Tan, Z. Zhang, and J. Hu. 2018. “Recognition of leak CO2 with wavelet analysis based on correlation monitoring between CO2 and O2 in atmosphere.” Process Saf. Environ. Prot. 114 (Feb): 64–78. https://doi.org/10.1016/j.psep.2017.12.009.
Martínez-Codina, A., L. Cueto-Felgueroso, M. Castillo, and L. Garrote. 2015. “Use of pressure management to reduce the probability of pipe breaks: A Bayesian approach.” J. Water Resour. Plann. Manage. 141 (9): 04015010. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000519.
Massari, C., T. C. J. Yeh, M. Ferrante, B. Brunone, and S. Meniconi. 2015. “A stochastic approach for extended partial blockage detection in viscoelastic pipelines: Numerical and laboratory experiments.” J. Water Supply Res. Technol. AQUA 64 (5): 583–595. https://doi.org/10.2166/aqua.2015.034.
Meniconi, S., B. Brunone, and M. Ferrante. 2012. “Water-hammer pressure waves interaction at cross-section changes in series in viscoelastic pipes.” J. Fluids Struct. 33 (Aug): 44–58. https://doi.org/10.1016/j.jfluidstructs.2012.05.007.
Meniconi, S., B. Brunone, M. Ferrante, and C. Capponi. 2016. “Mechanism of interaction of pressure waves at a discrete partial blockage.” J. Fluids Struct. 62 (Apr): 33–45. https://doi.org/10.1016/j.jfluidstructs.2015.12.010.
Meniconi, S., H. F. Duan, P. J. Lee, B. Brunone, M. S. Ghidaoui, and M. Ferrante. 2013. “Experimental investigation of coupled frequency and time-domain transient test–based techniques for partial blockage detection in pipelines.” J. Hydraul. Eng. 139 (10): 1033–1040. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000768.
Pei, J. J., G. T. Wang, S. D. Luo, and Y. Luo. 2018. “Societal risk acceptance criteria for pressure pipelines in China.” Saf. Sci. 109 (Nov): 20–26. https://doi.org/10.1016/j.ssci.2018.05.006.
Sattar, A. M., M. H. Chaudhry, and A. A. Kassem. 2008. “Partial blockage detection in pipelines by frequency response method.” J. Hydraul. Eng. 134 (1): 76–89. https://doi.org/10.1061/(ASCE)0733-9429(2008)134:1(76).
Schwaller, J., and J. E. van Zyl. 2015. “Modeling the pressure-leakage response of water distribution systems based on individual leak behavior.” J. Hydraul. Eng. 141 (5): 04014089. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000984.
Shen, Y., and T. L. Zhang. 2013. “Eddy current detecting of leak hole in pipeline by wavelet packet signal analysis method.” Appl. Mech. Mater. 291 (Apr): 2486–2491. https://doi.org/10.4028/www.scientific.net/AMM.291-294.2486.
Shi, B. H., et al. 2018. “Investigation on natural gas hydrate dissociation from a slurry to a water-in-oil emulsion in a high-pressure flow loop.” Fuel 233 (Dec): 743–758. https://doi.org/10.1016/j.fuel.2018.06.054.
Torretta, V., E. C. Rada, M. Schiavon, and P. Viotti. 2017. “Decision support systems for assessing risks involved in transporting hazardous materials: A review.” Saf. Sci. 92 (Feb): 1–9. https://doi.org/10.1016/j.ssci.2016.09.008.
Vítkovský, J. P., M. F. Lambert, A. R. Simpson, and J. A. Liggett. 2007. “Experimental observation and analysis of inverse transients for pipeline leak detection.” J. Water Resour. Plann. Manage. 133 (6): 519–530. https://doi.org/10.1061/(ASCE)0733-9496(2007)133:6(519).
Wang, Q., Z. Li, C. Zhu, and J. Li. 2020a. “Analysis on valve regulation and water hammer control of gravity flow pipeline.” [In Chinese.] Fluid Machinery 48 (6): 38–43.
Wang, X., M. S. Ghidaoui, and P. J. Lee. 2020b. “Linear model and regularization for transient wave–based pipeline-condition assessment.” J. Water Resour. Plann. Manage. 146 (5): 04020028. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001205.
Yang, L., W. H. Zhou, K. H. Xue, R. P. Wei, and Z. Ling. 2018. “A pressure core ultrasonic test system for on-board analysis of gas hydrate-bearing sediments under in situ pressures.” Rev. Sci. Instrum. 89 (5): 054904. https://doi.org/10.1063/1.5026468.
Yang, Z., Z. Xiao, and M. Shao. 2010. “A new method of leak location for the natural gas pipeline based on wavelet analysis.” Energy 35 (9): 3814–3820. https://doi.org/10.1016/j.energy.2010.05.034.
Yu, Y. F., and J. Li. 2018. “Applicability of pipe leak detection method using transient damping.” [In Chinese.] Nanotechnol. Precis. Eng. 1 (1): 73–78.
Yuan, Z., Z. Deng, M. Jiang, Y. Xie, and X. Wu. 2015. “A modeling and analytical solution for transient flow in natural gas pipelines with extended partial blockage.” J. Nat. Gas Sci. Eng. 22 (Jan): 141–149. https://doi.org/10.1016/j.jngse.2014.11.029.
Zhang, X., B. R. Lee, J.-H. Sa, K. J. Kinnari, K. M. Askvik, X. Li, and A. K. Sum. 2017. “Hydrate management in deadlegs: Effect of header temperature on hydrate deposition.” Energy Fuels 31 (11): 11802–11810. https://doi.org/10.1021/acs.energyfuels.7b02095.
Zhao, Y., L. Q. Qian, Y. L. Tu, H. Wu, C. Y. Xia, and P. Wang. 2017. “The mechanism and experimental study on reducing water hammer pressure by closing multi-valves.” [In Chinese.] Sci. Technol. Eng. 17 (35): 312–317.
Zoran, S. K., A. S. Dragan, and A. W. Godfrey. 2003. “A hybrid inverse transient model for leakage detection and roughness calibration in pipe networks.” J. Hydraul. Res. 41 (5): 481–492. https://doi.org/10.1080/00221680309499993.
Zouari, F., M. Louati, S. Meniconi, E. Blasten, M. S. Ghidaoui, and B. Brunone. 2020. “Experimental verification of the accuracy and robustness of area reconstruction method for pressurized water pipe system.” J. Hydraul. Eng. 146 (3): 04020004. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001674.

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Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 15Issue 1February 2024

History

Received: May 16, 2023
Accepted: Aug 18, 2023
Published online: Oct 12, 2023
Published in print: Feb 1, 2024
Discussion open until: Mar 12, 2024

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Associate Professor, Dept. of Energy and Power Engineering, Lanzhou Univ. of Technology, No. 287, Langgongping Rd., Lanzhou 730050, China. Email: [email protected]
Research Scholar, Dept. of Energy and Power Engineering, Lanzhou Univ. of Technology, No. 287, Langgongping Rd., Lanzhou 730050, China (corresponding author). ORCID: https://orcid.org/0000-0001-5633-6732. Email: [email protected]

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