Interpreting change in transmission pipeline corrosion from in-line inspection instrument data
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Date
2007-03
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Publisher
The Ohio State University
Abstract
One of the largest problems plaguing pipelines is corrosion. According to a National Association of Corrosion Engineers federal study, “corrosion costs U.S. transmission pipelines as much as 8.6 billion dollars per year” (Thompson and Vieth, 2003). Tools known as in-line instruments (ILI's) have capabilities to identify and predict the size of corrosion patches on pipelines. Data sets from in-line instruments can contain data from hundreds of miles of pipe. If an accurate and economical method could be found to quantify changes in corrosion data over time, this could prove useful towards predicting the life of pipelines. The current research has determined such a method. The results of this method have the capabilities to predict and quantify corrosion growth. With this information, a pipeline owner/operator will be better equipped to determine necessary repairs within their system and curb part of the huge corrosion costs associated with regular maintenance and catastrophic failure (with its associated cost in terms of loss of life and litigations).
Advisor: Marcelo Dapino
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Keywords
Smart Pig, Pigging, Magnetic Flux Leakage, Pipeline Inspection, Pipeline Corrosion, Corrosion, Pipeline Corrosion Growth, In-Line Instrument