Abstract
Predictive Corrosion Management have a lot of attractive use cases including Corrosion Under Insulation (CUI) enabled by monitoring and Artificial Intelligence (AI). This paper describes the deployment and evaluation of remote monitoring solution with application in corrosion under insulation management especially for cold duty insulation with intermittent service.
A remote Monitoring system using Electro-Magnetic Guided Radar (EMGR) is described in this paper that uses advanced analytics for predictions. 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 automatically performed with advanced analytics and accessed by the end user to help optimize CUI inspection plan. This provides important data for corrosion engineers to plan, schedule and target their efforts.
This presentation will describe the evaluation and experience of deployment of CUI monitoring in an oil and gas plant. The lessons learnt from field use cases will be presented. The new method of using sensing and Industrial Internet of Things (IOT) to detect and predict corrosion in the field will be a huge impact for the asset integrity industry struggling with the threat of hidden corrosion such as CUI.
