Next Article in Journal
Theoretical Study on the Influence of Hard Coating on Vibration Characteristics of Fiber-Reinforced Composite Thin Shell
Next Article in Special Issue
Application of Industrial XRF Coating Thickness Analyzer for Phosphate Coating Thickness on Steel
Previous Article in Journal
Modulating the Partitioning of Microparticles in a Polyethylene Glycol (PEG)-Dextran (DEX) Aqueous Biphasic System by Surface Modification
Previous Article in Special Issue
Effects of the Oxide Coating Thickness on the Small Flaw Sizing Using an Ultrasonic Test Technique
Article

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

Figure 1

MDPI and ACS Style

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. https://doi.org/10.3390/coatings8030086

AMA Style

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(3):86. https://doi.org/10.3390/coatings8030086

Chicago/Turabian Style

Dai, Lianshuang, Ting Wang, Caiyan Deng, Qingshan Feng, and Dongpo Wang. 2018. "New Method to Identify Field Joint Coating Failures Based on MFL In-Line Inspection Signals" Coatings 8, no. 3: 86. https://doi.org/10.3390/coatings8030086

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop