Corrosion Under Insulation Data Management: Turning Inspection Results into an Integrity Program

Why CUI Inspection Data Is Often Underused

• Inspection reports stored as disconnected PDF files
• Inspection locations not linked clearly to equipment hierarchy or circuits
• Wall thickness readings without corrosion rate or risk context
• Radiographic findings without standardized severity ranking
• Insulation condition and coating condition not captured consistently
• Repair recommendations not tracked to closure
• No clear connection between inspection findings and future inspection intervals
• Lack of data evergreening after new findings
• Inconsistent terminology across contractors, inspectors, and engineers

What Good CUI Data Management Should Include

A structured CUI program should capture equipment/tag number, system, unit, circuit and line class; operating temperature range and CUI susceptibility window; material of construction, coating, insulation type and jacketing condition; environmental exposure, water ingress points, supports, penetrations, terminations and low points; inspection method used and its limitations; inspection location and coverage; wall thickness/remaining thickness where measured; radiographic indications, corrosion morphology and severity; moisture or insulation condition where assessed; consequence category and risk ranking; recommended actions and priority; repair, replacement, monitoring or further inspection decisions; and inspection history and future reassessment dates.

Linking Advanced NDT Data to Engineering Decisions

Digital radiography, PEC, neutron backscatter, infrared thermography, LRUT, UT, and PAUT each provide different types of information. A good CUI data model must not treat all data as equivalent:

• Digital radiography may show profile change or corrosion morphology — confirmation may be required depending on geometry and image quality
• PEC provides screening of average wall loss over a sensor footprint — not a direct minimum thickness measurement
• Neutron backscatter identifies wet insulation or moisture-related risk indicators — not remaining wall thickness
• UT/PAUT provides local thickness or mapping data that may support FFS or repair decisions
• Visual inspection and insulation condition surveys provide essential context for probability of CUI

Evergreening: Keeping the Program Current

A CUI program must be updated continuously. New inspection results, repairs, insulation replacements, coating upgrades, process changes, leaks, shutdown findings, and operating changes should feed back into the risk model. A static spreadsheet or one-time inspection report becomes outdated quickly if not maintained.

Excel Tools, RBI Software, and AI-Assisted Analysis

Many companies start with structured Excel tools because they are transparent, easy to review, and easier to implement within client IT/security constraints. More advanced systems may integrate with CMMS, inspection management software, RBI software, or AI-assisted analytics. AI-assisted tools can help identify patterns, flag inconsistent data, support prioritization, and accelerate re-ranking when new data is added. However, AI should not replace engineering judgement and must be governed by transparent logic, quality-controlled inputs, and expert review.

Documentation and Auditability

CUI integrity decisions must be traceable. A strong program should document why locations were selected, which inspection method was used, what limitations applied, how severity and risk ranking were assigned, why actions were recommended, when actions were closed, how future intervals were determined, and which assumptions require review.