Leakage Prevention and Real-Time Internal Detection in Pipelines Using a Built-In Wireless Information and Communication Network
- Renato J Cintra (University of Calgary) | Thiago de Oliveira (University of Calgary) | Martin P. Mintchev (University of Calgary)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- March 2020
- Document Type
- Journal Paper
- 2020.Society of Petroleum Engineers
- Pipeline leak prevention, Information and communication stations, Wireless monitoring systems
- 10 in the last 30 days
- 29 since 2007
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|SPE Non-Member Price:||USD 35.00|
A series of recent pipeline leakage incidents created severe societal concerns to a point of impeding, or even completely preventing, building new pipelines in North America. Various systems have been proposed to identify and locate leakages. However, despite the fact that pipelines remain the safest means of oil and gas transportation, incidents still persist and pipeline acceptance from the public has become compromised. In order to address the need for early leakage detection, while providing comprehensive leakage prevention, a novel pipeline system is proposed. This concept builds on the already existing pipe-in-pipe design by segmenting the pipeline system with segmentation rings and embedding a linear wireless network in the annular airgap between the two pipe layers. Presence of fluid in the case of a leakage into the interpipe space causes degradation of the wireless network to a point of interrupting the communication in a particular pipeline segment well before any external leak occurs. Thus, the internal leak is detected in real time by an external central unit connected to the linear wireless network, as demonstrated with a 6 ft 8 in. experimental pipeline setup.
|File Size||783 KB||Number of Pages||12|
About Pipelines. 2016. About Pipelines—Oil and Gas on the Move: It’s What Pipelines do Best! About Pipelines, https://www.aboutpipelines.com/en/blog/oil-and-gas-on-the-move-its-what-pipelines-do-best/ (accessed 21 September 2016).
Al-Kadi, T., Al-Tuwaijrib, Z., and Al-Omrana, A. 2013. Wireless Sensor Networks for Leakage Detection in Underground Pipelines: A Survey Paper. Proc Comput Sci 21: 491–498. https://doi.org/10.1016/j.procs.2013.09.067.
Baylot, M., Goalabre, J.-Y., and Pionetti, F.-R. 2014. Coaxial Pipe Element. US Patent No. 8,794,675 B2.
Booles, H. F. 2005. Monitoring System for Leak Prevention and Detection. US Patent No. 6,889,538 B2.
Chong, C.-Y. and Kumar, S. P. 2013. Sensor Networks: Evolution, Opportunities, and Challenges. Proc IEEE 91 (8): 1247–1256. https://doi.org/10.1109/JPROC.2003.814918.
Dixon, M. 2013. Pipe-in-Pipe: Thermal Management for Effective Flow Assurance. Paper presented at the Offshore Technology Conference, Houston, Texas, USA, 6–9 May. OTC-24122-MS. https://doi.org/10.4043/24122-MS.
Furchtgott-Roth, D. 2012. Pipelines are Safest for Transportation of Oil and Gas. Manhattan Institute for Policy Research, New York, USA (17 June).
Hausner, M. and Dixon, M. 2002. Optimized Design of Pipe-in-Pipe Systems. Paper presented at the Offshore Technology Conference, Houston, Texas, USA, 6–9 May. OTC-14182-MS. https://doi.org/10.4043/14182-MS.
Hutchinson, R. J., Halla, D. D., Dolson, R. G. et al. 2007. Secondary Containment Leak Prevention and Detection System and Method. US Patent No. 7,225,664 B2.
Jax, P. 2012. Method and Apparatus for Detecting a Leak in a Double Pipe. US Patent No. 8,234,911 B2.
Jeffries, W. W., Parsons, D. W., and Parsons, D. C. 2008. Wireless Water Flow Monitoring and Leak Detection System, and Method. US Patent 7,360,413 B2.
Jensen, I. A. and Grythe, K. H. 2014. Communication Arrangement for Transmission of Communication Signals Along a Pipe Line. US Patent No. 8,660,595 B2.
Joyce, C. 2006. Underwater Pipeline Damage Underestimated in Gulf. National Public Radio, May 4, https://www.npr.org/templates/story/story.php?storyId=5383631 (accessed 20 December 2017).
McMurray, A. B., County, C. A., Glendive, M. T. et al. 2018. Annex J1: Recent Pipeline Accidents Involving Crude Oil in Canada and the United States. Guidance for the Environmental Public Health Management of Crude Oil Incidents, 131.
Meribout, M. 2011. A Wireless Sensor Network-Based Infrastructure for Real-Time and Online Pipeline Inspection. IEEE Sens J 11 (11): 2966–2972. https://doi.org/10.1109/JSEN.2011.2155054.
Mohamed, N., Jawhar, I., Al-Jaroodi, J. et al. 2011. Sensor Network Architectures for Monitoring Underwater Pipelines. Sensors 11 (12): 10738–10764. https://doi.org/10.3390/s111110738.
National Transportation Statistics. 2017. Bureau of Transportation Statistics, US Department of Transportation, http://www.bts.gov/sites/bts.dot.gov/files/legacy/NTS Entire 2017Q1.pdf (accessed 30 May 2017).
Ngiam, P. C. A., Brown, K. R. J., Jo, C. H. et al. 1998. An Application of Bottom Pull Method to Bundled Submarine Pipelines. Paper presented at the International Society of Offshore and Polar Engineers (ISOPE), Montreal, Canada, 24–29 May. ISOPE-I-98-109.
Pipeline 101. 2017. Pipeline 101—Where Are Liquids Pipelines Located? Pipeline 101, http://www.pipeline101.org/Where-Are-Pipelines-Located (accessed 20 December 2017).
Pottie, G. J. and Kaiser, W. J. 2000. Wireless Integrated Network Sensors (WINS): Principles and Practice. Commun ACM 43 (5): 51–58. https://doi.org/10.1145/332833.332838.
RP DNV-RP-F302, Recommended Practice for Selection and Use of Subsea Leak Detection Systems. 2010. Oslo, Norway: Det Norske Veritas.
Rui, Z., Metz, P. A., Reynolds, D. B. et al. 2011. Historical Pipeline Construction Cost Analysis. Int J Oil Gas Coal Technol 4 (3): 244–263. https://doi.org/10.1504/IJOGCT.2011.040838.
Sadeghioon, A. M., Metje, N., Chapman, D. N. et al. 2014. SmartPipes: Smart Wireless Sensor Networks for Leak Detection in Water Pipelines. J Sens Actuator Netw 3: 64–78. https://doi.org/10.3390/jsan3010064.
Sheltami, T. R., Bala, A., and Shakshuki, E. M. 2016. Wireless Networks for Leak Detection in Pipelines: A Survey. J Ambient Intell Hum Comput 7 (3): 347–356. https://doi.org/10.1007/s12652-016-0362-7.
Smith, C. E. 2016. Natural Gas Pipeline Profits, Construction Both Up. Oil Gas J 114 (9): 84–96.
Solberg, L. and Gjertveit, S. E. 2007. Constructing the World’s Longest Subsea Pipeline, Langeled Gas Export. Paper presented at the Offshore Technology Conference, Houston, Texas, USA, 30 April–3 May. OTC-18962-MS. https://doi.org/10.4043/18962-MS.
US Department of Interior. 2000. An Engineering Assessment of Double Wall Versus Single Wall Designs for Offshore Pipelines in an Arctic Environment—Final Report. C-CORE, Minerals Management Service, US Department of Interior.
US Department of Transportation. 2010. Building Safe Communities: Pipeline Risk and Its Application to Local Development Decisions. Pipeline and Hazardous Materials Safety Administration (PHMSA), US Department of Transportation, Office of Pipeline Safety, Table 1, p. 23.
US Department of Transportation. 2017. Annual Report Mileage for Hazardous Liquids, Gas Distribution, Gas Transmission Gathering, and Liquefied Natural Gas. Pipeline and Hazardous Materials Safety Administration (PHMSA). US Department of Transportation, https://www.phmsa.dot.gov/pipeline/library/data-stats/annual-report-mileage-for-hazardous-liquid-or-carbon-dioxide-systems (accessed 26 May 2017).
US Federal Energy Regulatory Commission. 2015. US Federal Energy Regulatory Commission (FERC) Annual Report Form 6 (Oil Pipelines), Forms 2 and 2A (gas pipelines).
US Geological Survey. 2003. The TransAlaska Oil Pipeline Survives the Quake—A Triumph of Science and Engineering. US Geological Survey, Fact Sheet 014-03, https://pubs.usgs.gov/fs/2003/fs014-03/pipeline.html (accessed 20 December 2017).
Wilson, A. B. 2009. Compound Pipe. US Patent No. 7,578,315 B2.
Zheng, J., Palmer, A., Lipski, W. et al. 2012. Impact Damage on Pipe-in-Pipe Systems. Paper presented at the Twenty-Second International Offshore and Polar Engineering Conference, Rhodes, Greece, 17–22 June. ISOPE-I-12-283.