NDLI: A Review of Crack Detection In-Line Inspection Case Studies

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Bates, Neil Lee, David Maier, Clifford
Copyright Year	2010
Abstract	This paper describes case studies involving crack detection in-line inspections and fitness for service assessments that were performed based on the inspection data. The assessments were used to evaluate the immediate integrity of the pipeline based on the reported features and the long-term integrity of the pipeline based on excavation data and probabilistic SCC and fatigue crack growth simulations. Two different case studies are analyzed, which illustrate how the data from an ultrasonic crack tool inspection was used to assess threats such as low frequency electrical resistance weld seam defects and stress corrosion cracking. Specific issues, such as probability of detection/identification and the length/depth accuracy of the tool, were evaluated to determine the suitability of the tool to accurately classify and size different types of defects. The long term assessment is based on the Monte Carlo method [1], where the material properties, pipeline details, crack growth parameters, and feature dimensions are randomly selected from certain specified probability distributions to determine the probability of failure versus time for the pipeline segment. The distributions of unreported crack-related features from the excavation program are used to distribute unreported features along the pipeline. Simulated crack growth by fatigue, SCC, or a combination of the two is performed until failure by either leak or rupture is predicted. The probability of failure calculation is performed through a number of crack growth simulations for each of the reported and unreported features and tallying their respective remaining lives. The results of the probabilistic analysis were used to determine the most effective and economical means of remediation by identifying areas or crack mechanisms that contribute most to the probability of failure.
Sponsorship	International Petroleum Technology Institute and the Pipeline Division
Starting Page	197
Ending Page	208
Page Count	12
File Format	PDF
ISBN	9780791844205
DOI	10.1115/IPC2010-31114
e-ISBN	9780791838853
Volume Number	2010 8th International Pipeline Conference, Volume 1
Conference Proceedings	2010 8th International Pipeline Conference
Language	English
Publisher Date	2010-09-27
Publisher Place	Calgary, Alberta, Canada
Access Restriction	Subscribed
Subject Keyword	Leakage Pipelines Rupture Inspection Probability Electrical resistance Fitness-for-service Dimensions Fatigue Crack detection Fracture (materials) Stress corrosion cracking Monte carlo methods Simulation Statistical distributions Materials properties Engineering simulation Failure Fatigue cracks
Content Type	Text
Resource Type	Article

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