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CUI Assessment Near Insulation Support Rings Using Pulsed Eddy Currents

Picture for CUI Assessment Near Insulation Support Rings Using Pulsed Eddy Currents
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Pulsed Eddy Currents (PEC) is an electromagnetic inspection method for detecting thickness variations in carbon steel and cast iron through various insulation and/or protective components. It is also resilient to liftoff variations, making it a valuable technique for Corrosion Under Insulation (CUI) assessment. The technology is widely used in the energy and petrochemical industries to detect and estimate the extent of corrosion in insulated or fire-proofed components like pipes and tanks without removing the covering.

Product Number: 51323-19031-SG
Author: Donald Picard, Olivier Bellavance, Charles Tremblay, Andréanne Potvin
Publication Date: 2023
$0.00
$20.00
$20.00

Pulsed Eddy Current (PEC) is a proven inspection technology used to detect and assess wall loss in ferromagnetic materials under any layer of insulation or coating that prevents direct access to the surface. One of its main applications is detecting Corrosion Under Insulation (CUI) in pressure vessels. Corrosion, caused by water or condensation ingress under the insulation, is generally found just above the Insulation Support Rings (ISR), interfering with the PEC signals. Hence, assessing this corrosion requires advanced data analysis tools combined with a clear understanding of the influence of the ISR on the signals. The objective of this paper is thus to establish a data analysis workflow for assessing this corrosion by evaluating the impact of the ISR on the PEC signals. The discrimination of the influence of the ISR on PEC data was best achieved by scanning perpendicular to the ISR and by analyzing signals taken on representative manufactured pressure vessel samples. Advanced analysis tools developed in recent years and the various PEC signals are presented and explained, demonstrating the capabilities of this technology to reveal the presence of true wall loss near interfering components. Such challenging applications require advanced data analysis tools and efficient workflow analyses to increase confidence.

Pulsed Eddy Current (PEC) is a proven inspection technology used to detect and assess wall loss in ferromagnetic materials under any layer of insulation or coating that prevents direct access to the surface. One of its main applications is detecting Corrosion Under Insulation (CUI) in pressure vessels. Corrosion, caused by water or condensation ingress under the insulation, is generally found just above the Insulation Support Rings (ISR), interfering with the PEC signals. Hence, assessing this corrosion requires advanced data analysis tools combined with a clear understanding of the influence of the ISR on the signals. The objective of this paper is thus to establish a data analysis workflow for assessing this corrosion by evaluating the impact of the ISR on the PEC signals. The discrimination of the influence of the ISR on PEC data was best achieved by scanning perpendicular to the ISR and by analyzing signals taken on representative manufactured pressure vessel samples. Advanced analysis tools developed in recent years and the various PEC signals are presented and explained, demonstrating the capabilities of this technology to reveal the presence of true wall loss near interfering components. Such challenging applications require advanced data analysis tools and efficient workflow analyses to increase confidence.

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Product Number: MPWT19-15162
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Corrosion under insulation (CUI) is a critical challenge that affects the integrity of assets for which the oil and gas industry is not immune. Over the last few decades, both downstream and upstream industry segments have recognized the magnitude of CUI and challenges faced by the industry in its ability to handle CUI risk-based assessment, predictive detection and inspection of CUI. It is a concern that is hidden, invisible to inspectors and prompted mainly by moisture ingress between the insulation and the metallic pipe surface. The industry faces significant issues in the inspection of insulated assets, not only of pipes, but also tanks and vessels in terms of detection accuracy and precision. Currently, there is no reliable NDT detection tool that can predict the CUI spots in a safe and fast manner. In this study, a cyber physical-based approach is being presented to identify susceptible locations of CUI through a collection of infrared data overtime. The experimental results and data analysis demonstrates the feasibility of utilizing machine-learning techniques coupled with thermography to predict areas of concern. This is through a simplified clustering and classification model utilizing the Convolutional Neural Networks (CNN). This is a unique and innovative inspection technique in tackling complex challenges within the oil and gas industry, utilizing trending technologies such as big data analytics and artificial intelligence.
Corrosion Under Pipe Supports - Beyond Simply Inspection
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Corrosion Under Pipe Supports - Beyond Simply Inspection

Product Number: 51322-18155-SG
Author: Connor Tiegs
Publication Date: 2022
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Petrochemical facilities and refineries consist of many miles of above ground piping that transports product between processing and storage units. These pipes are either supported at ground level or in multi-story pipe racks on varying types and sizes of supporting structures. A common problem these structures create is corrosion and erosion at the junction between the pipe and the support, which reduces the remaining wall thickness of the pipe and compromises the integrity of the entire system. 
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Product Number: 51323-18871-SG
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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.
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