Rupture Leakage Model for a Natural Gas Pipeline
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 14, Issue 1
Abstract
A study to develop a rupture leakage calculation model for a natural gas pipeline was conducted. The model was based on the unsteady flow equations in the pipeline combined with the orifice outflow principle. In this article, a description of the rupture and leakage process of the gas pipeline is given. An analytical method that produces functions such as the pressure change in the leakage process, the leakage flow rate, and the cumulative leakage amount was employed. By introducing a balance factor and calculating natural gas capacity using the pipeline state equation before leakage as a reference state, the model results for the leakage process became more credible and useful. A limited exhaustive comparison method is proposed for estimating the leakage process. In the calculations, actual pipeline operational parameters were employed. The model and the proposed method are suitable for analysis and calculations of the rupture leakage of gas pipelines with cutoff devices situated at intervals of 8, 16, 24, and 32 km.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was supported by Tianjin Natural Science Foundation (Grant No. 18JCQNJC77800).
References
Burlutskiy, E. 2013. “Mathematical modelling on rapid decompression in base natural gas mixtures under rupturing.” Chem. Eng. Res. Des. 91 (1): 63–69. https://doi.org/10.1016/j.cherd.2012.06.017.
Chen, P., H. F. Mei, and H. L. Zhao. 2014. “Modeling and analysis of leak rate of natural gas pipelines with large holes.” [In Chinese.] J. Graph. 2014 (3): 486–489. https://doi.org/10.3969/j.issn.2095-302X.2014.03.027.
Chen, Q., X. Xing, C. Jin, L. Zuo, J. Wu, and W. Wang. 2020. “A novel method for transient leakage flow rate calculation of gas transmission pipelines.” J. Nat. Gas Sci. Eng. 77 (May): 103261. https://doi.org/10.1016/j.jngse.2020.103261.
Crowl, D. A., and J. F. Louvar. 1990. “Chemical process safety: Fundamentals with applications.” Cesk Otolaryngol. 34 (Oct): 169–175. https://doi.org/10.1016/0304-3894(92)85021-R.
EGIG (European Gas pipeline Incident Data Group). 2015. EGIG- European gas pipeline incident report group. Kassel, Germany: EGIG.
Lang, E., and T. K. Fannelap. 1987. “Efficient computation of the pipeline break problem.” In Vol. 56 of Proc., 3rd Symp. on Fluid-Transients in Fluid Structure Interaction, 115–123. Boston: ASME.
Meniconi, S., C. Capponi, M. Frisinghelli, and B. Brunone. 2021. “Leak detection in a real transmission main through transient tests: Deeds and misdeeds.” Water Resour. Res. 57 (3): e2020WR027838. https://doi.org/10.1029/2020WR027838.
Montiel, H., J. A. Vılchez, J. Casal, and J. Arnaldos. 1998. “Mathematical modelling of accidental gas releases.” J. Hazard. Mater. 59 (2–3): 211–233. https://doi.org/10.1016/S0304-3894(97)00149-0.
Murvay, P. S., and I. Silea. 2012. “A survey on gas leak detection and localization techniques.” J. Loss Prev. Process Ind. 25 (6): 966–973. https://doi.org/10.1016/j.jlp.2012.05.010.
Nourollahi, E., A. B. Rahimi, E. Davarpanah. 2009. “Simulation of gas pipelines leakage using characteristics method.” J. Energ. Resour. Technol. 134 (2): 024501. https://doi.org/10.1115/1.4005697.
Olorunmaiye, J. A., and N. E. Imide. 1993. “Computation of natural gas pipeline rupture problems using the method of characteristics.” J. Hazard. Mater. 34 (1): 81–98. https://doi.org/10.1016/0304-3894(93)87005-E.
Quy, T. B., and J.-M. Kim. 2020. “Leak localization in industrial-fluid pipelines based on acoustic emission burst monitoring.” Measurement 151 (Feb): 107150. https://doi.org/10.1016/j.measurement.2019.107150.
Wang, H. L., and W. X. Huang. 2015. “Prediction model of gas pipeline leakage based on compressible fluid.” [In Chinese.] Saf. Environ. Eng. 4: 136–141. https://doi.org/10.13578/j.cnki.issn.1671-1556.2015.04.024.
Wang, X. W., J. H. Luo, and Z. S. Luo. 2018. “Research on calculation model of steady-state leakage of natural gas pipelines under non-isothermal conditions.” [In Chinese.] Fire Sci. Technol. 2018 (7): 971–975. https://doi.org/10.3969/j.issn.1009-0029.2018.07.034.
Woodward, J. L., and K. S. Mudan. 1991. “Liquid and gas discharge rates through holes in process vessels.” J. Loss Prev. Process Ind. 4 (3): 161–165. https://doi.org/10.1016/0950-4230(91)80031-O.
Xiang, S. P., L. Feng, and Y. C. Zhou. 2007. “Natural gas pipeline leakage model.” [In Chinese.] J. Nat. Gas Sci. Eng. 27 (7): 100–102. https://doi.org/10.3321/j.issn:1000-0976.2007.07.030.
Xu, X., and B. Karney. 2017. “An overview of transient fault detection techniques.” In Modeling and monitoring of pipelines and networks, edited by C. Verde and L. Torres, 13–37. New York: Springer.
Yan, M. Q. 2013. “Cracking leakage model of natural gas transmission pipeline.” [In Chinese.] Gas Heat 33 (11): B13–B16. https://doi.org/10.3969/j.issn.1000-4416.2013.11.018.
Yuan, F., Y. Zeng, R. Luo, and B. C. Khoo. 2020. “Numerical and experimental study on the generation and propagation of negative wave in high-pressure gas pipeline leakage.” J. Loss Prev. Process Ind. 65 (May): 104129. https://doi.org/10.1016/j.jlp.2020.104129.
Information & Authors
Information
Published In
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Feb 5, 2022
Accepted: Aug 18, 2022
Published online: Nov 4, 2022
Published in print: Feb 1, 2023
Discussion open until: Apr 4, 2023
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Mingqing Yan, Peng Xu, Jun Li, Xuemei Zhang, Ling Wei, Shanbi Peng, Xuefei Li, Weihong Zhou, Xiaonan Wu, Xiaomei Huang, Yanwen Guan, A Buried Gas Pipeline Leakage Model, Journal of Pipeline Systems Engineering and Practice, 10.1061/JPSEA2.PSENG-1638, 15, 4, (2024).