Corrosion Under Insulation (CUI) continues to be an issue in many oil, gas and petrochemical installations. This paper builds on previous work to examine why the industry has struggled to come up with reliable and cost-effective solutions to the CUI problem. The limitations of different multidiscipline innovations are discussed together with positive examples of the latest promising industry projects and research, including risk management guidance, improved coatings, insulation system materials and design, non-destructive screening techniques and permanently embedded monitors. Key learnings from this review demonstrate the importance of better use of industry plant data to achieve improvements in managing CUI in all innovation disciplines.

Keywords:
machine learning, pipeline corrosion, corrosion inhibition, materials and corrosion, subsurface corrosion, oilfield chemistry, flowline corrosion, artificial intelligence, riser corrosion, corrosion management
Subjects:
Production Chemistry, Metallurgy and Biology, Pipelines, Flowlines and Risers, Information Management and Systems, Materials and corrosion, Well Integrity, Subsurface corrosion (tubing, casing, completion equipment, conductor), Corrosion inhibition and management (including H2S and CO2)
Copyright 2021, Society of Petroleum Engineers
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