Analytical Model for the Estimation of Leak Location in Natural Gas Pipeline
International Journal of Oil, Gas and Coal Engineering
Volume 7, Issue 4, July 2019, Pages: 95-102
Received: Sep. 28, 2019; Accepted: Oct. 23, 2019; Published: Nov. 11, 2019
Views 28      Downloads 8
Authors
Obibuike Ubanozie Julian, Department of Petroleum Engineering, Federal University of Technology, Owerri (FUTO), Nigeria
Ekwueme Stanley Toochukwu, Department of Petroleum Engineering, Federal University of Technology, Owerri (FUTO), Nigeria
Ohia Nnaemeka Princewill, Department of Petroleum Engineering, Federal University of Technology, Owerri (FUTO), Nigeria
Igwilo Kevin Chinwuba, Department of Petroleum Engineering, Federal University of Technology, Owerri (FUTO), Nigeria
Onyejekwe Ifeanyi Michael, Department of Petroleum Engineering, Federal University of Technology, Owerri (FUTO), Nigeria
Igbojionu Anthony Chemazu, Department of Petroleum Engineering, Federal University of Technology, Owerri (FUTO), Nigeria
Article Tools
Follow on us
Abstract
Mathematical model for leak location in natural gas pipeline has been developed in this paper. The model employs an isothermal steady state approach. Leak occurrence in the pipeline divides the pipeline into two sections-the upstream and downstream sections respectively. Analyses of leak incidences were carried out in the two pipeline sections giving rise to two equations being developed to address the leak localization. The first leak equation was developed by considering the upstream section of the pipeline while the second leak equation was developed by considering the downstream section of the pipeline. The two equations were analytically developed by slight modification of the Weymouth’s equation for gas flow in horizontal pipeline. Matlab software was used in the model simulation. Seven field data were used in the model simulation. The results from the Matlab simulation of the mathematical models developed gave the leak locations for each of the field cases. Comparison of the simulated results with actual results of leak locations determined experimentally revealed high level of accuracy with an average error of only 0.377% which is below the minimum acceptable limit. Furthermore analyses of results show that the two leak equations yield same results when used in the Matlab simulator. The model is highly suitable for accurate detection of leak in natural gas pipeline especially where economics and reliability is of essence.
Keywords
Leak Location, Mathematical Model, Upstream Section, Downstream Section
To cite this article
Obibuike Ubanozie Julian, Ekwueme Stanley Toochukwu, Ohia Nnaemeka Princewill, Igwilo Kevin Chinwuba, Onyejekwe Ifeanyi Michael, Igbojionu Anthony Chemazu, Analytical Model for the Estimation of Leak Location in Natural Gas Pipeline, International Journal of Oil, Gas and Coal Engineering. Vol. 7, No. 4, 2019, pp. 95-102. doi: 10.11648/j.ogce.20190704.12
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Nicholas, E., Carpenter, P., Henrie, M., Hung, D., Kundert, C. (2017). A New Approach to Testing Performance of a Pipeline Leak Detection System. Paper prepared for presentation at the PSIG Annual Meeting held in Atlanta, Georgia, USA.
[2]
Kegang Ling, Guoqing Han, X. N, Chunming Xu, Jun He, Peng Pei, and Jun Ge. (2015): A New Method for Leak Detection in Gas Pipelines, Paper (SPE 1891568) accepted for presentation at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Denver.
[3]
Baltazar, S. T. and Azevedo Perdicoúlis, T-P and Lopes dos Santos, P. (2016). Quadripole Models for Simulation and Leak Detection on Gas Pipelines. Paper prepared for presentation at the PSIG Annual Meeting held in Vancouver, British Columbia.
[4]
Qian, D. and Fox, P. H. and See, B. L., (2015). Accurate Natural Gas Load Hourly Forecasting Using ANN Model Trained with Multiple Parameters’. 46th PSIG Annual Meeting, New Orleans, LA, USA.
[5]
Reddy, H. P., Narasimhan, S., and Bhallamudi, S. M. (2006): Simulation and State Estimation of Transient Flow in Gas Pipeline Networks Using Transfer Function Model. Ind. Eng. Chem. Res. 45 (11): 3853–3863.
[6]
Wang, S. and Carroll, J. J. 2007. Leak Detection for Gas and Liquid Pipelines by Online Modeling. SPE Proj Fac & Const 2 (2): 1–9. SPE- 104133-PA.
[7]
Gajbhiye, R. N. and Kam, S. I. (2008). Leak Detection in Subsea Pipeline: A Mechanistic Modeling Approach with Fixed Pressure Boundaries. Presented at the Offshore Technology Conference, Houston, 5–8 May. OTC-19347-MS.
[8]
Elliott, J., Fletcher, R., and Wrigglesworth, M. (2008): Seeking the Hidden Threat: Applications of a New Approach in Pipeline Leak Detection. Presented at the Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, 3–6 November. SPE-118070-MS.
[9]
Hauge, E., Aamo, O. M., and Godhavn, J.-M. (2009): Model-Based Monitoring and Leak Detection in Oil and Gas Pipelines. SPE Proj Fac & Const 4 (3): 53–60. SPE-114218-PA.
[10]
Schlumberger. (2014). OLGA Dynamic Multiphase Flow Simulator. http://www.software.slb.com/products/foundation/Pages/olga.aspx.
[11]
Ben-mansour, R., Habib, M. A., Khalifa, A., Youcef-Toumi, K and Chatzigeorgiou, D. (2012). Computational Fluid Dynamics Simulation of Small Leaks in Water Pipeline for Direct Leak Pressure Transduction. Computers & Fluids, 57, 110-123.
[12]
Balda Rivas, K. V. and Civan, F. (2013): Application of Mass Balance and Transient Flow Modeling for Leak Detection in Liquid Pipelines. Presented at the SPE Production and Operations Symposium, Oklahoma City, Oklahoma, USA, 23–26 March. SPE-164520-MS.
[13]
Zhu, H., Lin, P. & Pen, Q. (2014). A CFD (Computational Fluid Dynamics) Simulation for Oil Leakage from Damaged Submarine Pipeline, Energy, 64, 887-899.
[14]
Hanmer, G., Mora, V., Fábio C. G., Sergio L. (2018). Modelling of Rapid Transients in Natural Gas Pipelines. Paper prepared for presentation at the PSIG Annual Meeting held in Deer Valley, Utah.
[15]
Thodi, P., Paulin, M., Forester, L., Burke, J., Lanan, G. (2014). Arctic Pipeline Leak Detection using Fibre Optic Cable Distributed Sensing System. In OTC arctic Technology Conference. Offshore Technology Conference, Houstin, Texas.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186