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.

INTRODUCTION

CUI is a significant form of corrosion in industrial plants that demands substantial financial resources and attention. Many assets are insulated for various purposes such as heat conservation (operating temperature above 93°C), cold conservation (operating temperature below 10°C), thermal protection (typically above 60°C), process stabilization, and winterizing. Insulation is also utilized for sound control, condensation control, freeze protection (e.g., heat tracing), and fire protection.1,2

CUI, by its nature, tends to be undetected for a long time and only detected when the insulation and the cladding are removed.3,4 The corrosion rate of carbon steel under insulation can be up to 20 times higher than in normal aerated conditions.5 Consequently, current CUI guidelines discourage the unnecessary use of insulation on equipment and piping, proposing alternative solutions such as screens or protection bars.4

Keywords:
riser corrosion, saudi arabia government, asia government, subsurface corrosion, artificial intelligence, materials and corrosion, well integrity, sensor, pipeline corrosion, dummy pipe
Subjects:
Pipelines, Flowlines and Risers, Information Management and Systems, Materials and corrosion, Artificial intelligence, Well Integrity, Subsurface corrosion (tubing, casing, completion equipment, conductor)
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