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51313-02570-Corrosion Under Insulation Detection Technique

Product Number: 51313-02570-SG
ISBN: 02570 2013 CP
Author: Sally Nicola
Publication Date: 2013
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$20.00
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Corrosion is the most significant mechanical integrity issue faced by the petrochemical industry. Even after decades of study prevention and mitigation it remains the leading cause of pipeline failure in the oil and gas industry. Corrosion is the main contributor to maintenance costs and accounts for 15-20% of releases and about 80% of pipeline leaks. Moreover enormous costs are directed towards repairing corrosion damage in facilities every year. In this work one of the most problematic forms of corrosion is studied: corrosion under insulation (CUI).

Many methods of detecting CUI have been developed including ultrasound radiography methods and pulsed eddy current testing; however each has shortcomings that make them inapplicable for some conditions or generally not accurate enough. This work focuses on studying a non-destructive method to detect CUI. One of the methods considered is X-ray computed tomography. While similar to real-time radiography this method has higher resolution and has the capability to provide a 3-D image of the specimen showing where the corrosion is located and its extent. Also it does not require the insulation layer to be removed. Experiments show that this method is effective in detecting internal and external corrosion in pipes under different types of insulation.
 

Corrosion is the most significant mechanical integrity issue faced by the petrochemical industry. Even after decades of study prevention and mitigation it remains the leading cause of pipeline failure in the oil and gas industry. Corrosion is the main contributor to maintenance costs and accounts for 15-20% of releases and about 80% of pipeline leaks. Moreover enormous costs are directed towards repairing corrosion damage in facilities every year. In this work one of the most problematic forms of corrosion is studied: corrosion under insulation (CUI).

Many methods of detecting CUI have been developed including ultrasound radiography methods and pulsed eddy current testing; however each has shortcomings that make them inapplicable for some conditions or generally not accurate enough. This work focuses on studying a non-destructive method to detect CUI. One of the methods considered is X-ray computed tomography. While similar to real-time radiography this method has higher resolution and has the capability to provide a 3-D image of the specimen showing where the corrosion is located and its extent. Also it does not require the insulation layer to be removed. Experiments show that this method is effective in detecting internal and external corrosion in pipes under different types of insulation.
 

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