Comprehensive Integrity Management for Process CUI Risk: Insights from Dr. Philip Enegela in ICORR’s Corrosion Management Magazine
Articles & Blogs 2 min read

Comprehensive Integrity Management for Process CUI Risk: Insights from Dr. Philip Enegela in ICORR’s Corrosion Management Magazine

The INSTITUTE OF CORROSION‘s Corrosion Management Magazine published an article by Dr Philip Enegela, on CUI Risk management.

We are pleased to see the use of CUI Monitoring being part of the CUI management toolkit in this insightful article.

“A Comprehensive Integrity Management Approach to Addressing Process CUI Risk” delves into the current state of play in corrosion under insulation (CUI) management, highlights the need for a data-driven, risk management approach, and highlights the results of CorrosionRADAR’s predictive CUI monitoring solution from an end user perspective.

Key takeaways from the article include:

​​➡ Over the last four decades, CUI has been a significant issue in the oil and gas, petrochemical and chemical industries. CUI failures now account for around 20% of major oil and gas accidents according to the UK’s Net Zero Technology Centre.​

​​➡ CUI prevention starts with equipment design. Eliminating unnecessary insulation and water traps are imperative to avoiding CUI, and corrosion engineers should be involved during the front end and detailed engineering design phases of products. ​

​​➡ CUI management plans often fail due to poor planning and execution, reliance on outdated software systems such as RBI programmes and knee-jerk reactive ‘interventions’ that are mainly aimed at reducing failures and are generally unsustainable once small gains are made.​

​​➡ A good CUI management strategy should be underpinned by an understanding of risk and the condition of the equipment. Management buy-ins are also critical to the success of a CUI management programme and should be seen as a long-term investment to ensure safe production. ​

​​➡ A pragmatic approach to CUI management is required across the industry to prevent further failures. A data-driven, dynamic CUI risk management approach, complemented by new developments such as fully automated CUI monitoring, is the future. ​


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