[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

A General Survey on Technological Developments of Oil Leakage Detection over the Past Decade

  • Conference paper
Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 224))

Included in the following conference series:

  • 1875 Accesses

Abstract

This paper gives a general introduction of the mechanism and hazards of oil and gas pipeline leakage. And it also discusses the major methods, especially the latest developments of oil leakage detection in China and abroad. Furthermore, the trend of future development in the field of oil leakage detection is probed in the paper.

This research was supported by Shaanxi provincial project of special foundation of key disciplines (102-00X903).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 71.50
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 89.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Ellul, I.R.: Advances in Pipeline Leak Detection Techniques. Pipes and Pipelines International 34(3), 7–12 (1989)

    Google Scholar 

  2. Hennnigar, G.W.: Advances in Gas Leak Detection. Pipe and Gas Journal 212(11), 39–42 (1985)

    Google Scholar 

  3. De Read, J.R.: Comparision Between Ultrasonic and Magnetic Flux Pigs for Pipelines Inspection. Pipes and Pipelines Int. 1, 7–15 (1987)

    Google Scholar 

  4. Iron Army, et al.: Of The Development of Oil and Gas Pipeline Transportation. Gas Storage and Transportation 16(7), 1–3 (1997)

    Google Scholar 

  5. Wang, Q.: Wavelet packet-based theory of acoustic emission and the pressure of pipeline leak detection. Journal of Xi’an Jiaotong University 05 (2003)

    Google Scholar 

  6. Ding, H.: Long-distance oil pipeline leakage detection technique. Journal of Beijing Jiaotong University 06 (2004)

    Google Scholar 

  7. Yang, R.r.: GCC TDE in the pipeline leak detection. Computer Engineering 12 (2009)

    Google Scholar 

  8. Lun, S.X.: Adaptive fuzzy neural network system in pipeline leak detection. Journal of Petroleum Technology 04 (2004)

    Google Scholar 

  9. Chen, H.: Based on image processing pipeline leak detection and location. Journal of Tsinghua University (Natural Science) 01 (2005)

    Google Scholar 

  10. Zhou, Y.: Distributed optical fiber pipeline leakage detection and warning technology sensitivity analysis. Nanotechnology and Precision Engineering 05 (2008)

    Google Scholar 

  11. Hang, L.-j.: Novel distributed optical fiber pipeline leakage detection and location method. Acta Optica Sinica 01 (2008)

    Google Scholar 

  12. Wang, G.-b., et al.: Kullback information measure based on long-distance pipeline leak detection. Information and Control 1, 14–17 (1989)

    Google Scholar 

  13. Wei, W.: Unscented Kalman filter based on the fast pipeline leak detection and location. Process Automation Instrumentation 01 (2008)

    Google Scholar 

  14. Jiang, Q., Jia, M.P., Hu, J.-Z., et al.: Laplacian feature maps based on the failure pattern recognition method. Journal of System Simulation 20(20), 5710–5715 (2008)

    Google Scholar 

  15. Jiang, Q., Jia, M., Hu, J., et al.: Method of fault pat tern recognition based on Laplacian eigenmaps. Journal of System Simulation 20(20), 5710–5713 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lou, Z., Liu, H., Hu, M. (2011). A General Survey on Technological Developments of Oil Leakage Detection over the Past Decade. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_79

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23214-5_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23213-8

  • Online ISBN: 978-3-642-23214-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics