Skip to main navigation Skip to search Skip to main content

Leakage detection in a CO2 pipeline using Acoustic emission techniques

  • Yifan Ma
  • , Xiwang Cui
  • , Yong Yan
  • , Lin Ma
  • , Xiaojuan Han
  • North China Electric Power University
  • University of Kent
  • University of Leeds

Research output: Contribution to conferencePaperpeer-review

Abstract

Carbon capture and storage (CCS) technology is considered to be one of the most promising options in dealing with the problem of global warming, where long distance transmission pipeline is often used for transporting captured CO2 to the storage site. A pipe leak detection and location system is established in the present work. An Acoustic emission (AE) signal occurs when CO2 leak takes place. The signal propagates along the pipe and can be recorded by acoustic sensors mounted on the pipe. Experimental tests were performed to identify the leak location in the pipe through wavelet transform (WT) and empirical mode decomposition (EMD) of the AE signal. The relationship between the distance of two sensors and the leak location is investigated. Experimental results demonstrate that the maximum error in the estimation of the leak location is less than 5%.

Original languageEnglish
Pages78-82
Number of pages5
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 12th IEEE International Conference on Signal Processing, ICSP 2014 - Hangzhou, China
Duration: 19 Oct 201423 Oct 2014

Conference

Conference2014 12th IEEE International Conference on Signal Processing, ICSP 2014
Country/TerritoryChina
CityHangzhou
Period19/10/1423/10/14

Keywords

  • Acoustic emission
  • Empirical mode decomposition (EMD)
  • Pipe leakage
  • Signal processing
  • Wavelet transform

Fingerprint

Dive into the research topics of 'Leakage detection in a CO2 pipeline using Acoustic emission techniques'. Together they form a unique fingerprint.

Cite this