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Preventing Corrosion under Insulation in Piping - Trends after Evaluating Digital Data from Thousands of Piping Circuits

Extensive guidelines have been published for selecting where to search for corrosion under insulation (CUI). The guidelines are based on CUI failures and near misses. Piping CUI inspection programs collect the data outlined as relevant in specific company practices.

Product Number: 51323-18871-SG
Author: Eddie Sanchez, Michael Townsend, Michael Nichols, Katherine Jonsson, Eric Sjerve, Ana Benz
Publication Date: 2023
$0.00
$20.00
$20.00

Insulation provides an environment where corrosion can progress and remain undetected unless vigilantly monitored. Various approaches and inspection techniques are used to monitor the hidden losses. Current inspection methods often result in digital images – images that have improved corrosion under insulation (CUI) insights. Nevertheless, optimizing a CUI search remains challenging. Today’s digital world gives (almost) standardized inspection data more amenable to scrutiny than in the past. This paper examines piping CUI trends for thousands of piping circuits - after outlining steps followed during CUI surveys. The trends identified through data analytics are summarized through graphs evaluating multiple variables. Specifically, different insulation types and thicknesses, pipe diameters, and operating temperatures, among others, are compared. Finally, a predictive model to aid in selecting where to perform detailed inspections is outlined.

Insulation provides an environment where corrosion can progress and remain undetected unless vigilantly monitored. Various approaches and inspection techniques are used to monitor the hidden losses. Current inspection methods often result in digital images – images that have improved corrosion under insulation (CUI) insights. Nevertheless, optimizing a CUI search remains challenging. Today’s digital world gives (almost) standardized inspection data more amenable to scrutiny than in the past. This paper examines piping CUI trends for thousands of piping circuits - after outlining steps followed during CUI surveys. The trends identified through data analytics are summarized through graphs evaluating multiple variables. Specifically, different insulation types and thicknesses, pipe diameters, and operating temperatures, among others, are compared. Finally, a predictive model to aid in selecting where to perform detailed inspections is outlined.

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