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Reducing CUI Risk with Remote Monitoring in Cold Duty Insulations

Picture for Reducing CUI Risk with Remote Monitoring in Cold Duty Insulations
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The range of factors affecting the susceptibility of equipment to corrosion under insulation (CUI)
are numerous. Some of these factors might be controlled through better design, more robust
installation procedures, and using better quality coatings. However, there are other risk factors such as operating temperature, material type, and environmental conditions that cannot be easily modified.

Product Number: 51323-19065-SG
Author: A. Oskuie, A. Pidcock, J. Sumner, P. Sharma, S. Impey, C.M. Pinon, H, Yeung
Publication Date: 2023
$0.00
$20.00
$20.00

Online Risk Monitoring and risk reduction of Corrosion Under Insulation (CUI) is described for use in critical industrial assets using Electro-Magnetic Guided Radar (EMGR) technique and with API 581 guidelines. Risk Based Inspection (RBI) is used to optimize the inspection plan but risk can be reduced with more field data about asset condition. Often inspection plan can be inefficient for CUI in critical assets where either over-inspection or under-inspection scenarios exist. A remote Risk Monitoring system using Electro-Magnetic Guided Radar (EMGR) is described in this paper. This technology involves use of sensors embedded in the insulation and a data logger transmits data wirelessly to a central server. Risk analysis and localization for CUI risk severity are then accessed by the end user to help optimize CUI inspection plan. This provides important data for asset managers to plan, schedule and target their efforts. This presentation will describe in more detail the principles of the technique and recent case studies from various deployments in the context of energy transition to low carbon fuels.

Online Risk Monitoring and risk reduction of Corrosion Under Insulation (CUI) is described for use in critical industrial assets using Electro-Magnetic Guided Radar (EMGR) technique and with API 581 guidelines. Risk Based Inspection (RBI) is used to optimize the inspection plan but risk can be reduced with more field data about asset condition. Often inspection plan can be inefficient for CUI in critical assets where either over-inspection or under-inspection scenarios exist. A remote Risk Monitoring system using Electro-Magnetic Guided Radar (EMGR) is described in this paper. This technology involves use of sensors embedded in the insulation and a data logger transmits data wirelessly to a central server. Risk analysis and localization for CUI risk severity are then accessed by the end user to help optimize CUI inspection plan. This provides important data for asset managers to plan, schedule and target their efforts. This presentation will describe in more detail the principles of the technique and recent case studies from various deployments in the context of energy transition to low carbon fuels.

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