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IOW Analysis With Installed UT Sensors: How Process Changes Impact Corrosion Rates

Picture for IOW Analysis With Installed UT Sensors: How Process Changes Impact Corrosion Rates
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Many asset owners struggle to identify the root cause of fluctuating corrosion rates due to unreliable inspection data. Facilities worldwide are tasked with monitoring thousands of Condition Monitoring Locations (CMLs) with established NDE techniques such as manual ultrasonic testing and radiography. While these techniques can provide valuable “snapshots” of the condition of particular locations, limitations and inherent errors can compound leading to ill-advised decision making. Manually taken thickness data can vary greatly and result in unwarranted complacency or excessive and costly inspections.

Product Number: 51322-17611-SG
Author: Mitchell Gribi, Rebecca Henderson, Ivan Morales, Rebecca Franco, Zackary Lerch
Publication Date: 2022
Industries: Corrosion Monitoring and Control , Coatings and Linings , Coatings
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$20.00
$20.00

Installed UT sensors can provide better visibility around how, when, and why corrosion is happening in assets and allows people to track and monitor with extremely high precision (.001”). Owner operators can then overlay corrosion rate data with process data to analyze Integrity Operating Windows (IOWs) and help them better understand how to most efficiently and safely operate their assets and either remediate or extend their useful life, thus moving from a time-based maintenance interval to that of a predictive based interval. This paper will cover a real-life example of how an owner operator has used permanent or temporarily installed wireless UT sensors to monitor problematic areas, track remediation tactics, and verify the ramification of operational changes.

Installed UT sensors can provide better visibility around how, when, and why corrosion is happening in assets and allows people to track and monitor with extremely high precision (.001”). Owner operators can then overlay corrosion rate data with process data to analyze Integrity Operating Windows (IOWs) and help them better understand how to most efficiently and safely operate their assets and either remediate or extend their useful life, thus moving from a time-based maintenance interval to that of a predictive based interval. This paper will cover a real-life example of how an owner operator has used permanent or temporarily installed wireless UT sensors to monitor problematic areas, track remediation tactics, and verify the ramification of operational changes.

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