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Coatings 2018, 8(3), 86; https://doi.org/10.3390/coatings8030086

New Method to Identify Field Joint Coating Failures Based on MFL In-Line Inspection Signals

1
School of Materials Science and Engineering, Tianjin University, Tianjin 300072, China
2
PetroChina Pipeline Company, Langfang 065000, China
*
Author to whom correspondence should be addressed.
Received: 6 January 2018 / Revised: 8 February 2018 / Accepted: 24 February 2018 / Published: 27 February 2018
(This article belongs to the Special Issue Advanced Nondestructive Evaluation and Characterization of Surface)
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Abstract

Above ground indirect detections and random excavations that have applied the past years for buried long distance oil and gas pipelines can only identify some damaged coating locations. Hence, large number of field joint coating (FJC) failures happen unconsciously until they lead to failures of the pipelines. Based on the analysis of magnetic flux leakage (MFL) in-line inspection (ILI) signals, combined with the statistical results of 414 excavations from two different pipeline sections, a new method to identify the failed FJC is established. Though it can only identify FJC failures when there are signs of corrosion on pipe body, it is much more efficient and cost-saving. The concluded identification rule still needs more validations and improvements to be more applicable and accuracy. View Full-Text
Keywords: oil and gas pipeline; field joint coating (FJC); failure; magnetic flux leakage (MFL) in-line inspection (ILI) signal oil and gas pipeline; field joint coating (FJC); failure; magnetic flux leakage (MFL) in-line inspection (ILI) signal
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Dai, L.; Wang, T.; Deng, C.; Feng, Q.; Wang, D. New Method to Identify Field Joint Coating Failures Based on MFL In-Line Inspection Signals. Coatings 2018, 8, 86.

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