The situation
Across hundreds of process units, RT wall thickness measurement campaigns at a major European refinery followed the same pattern: film evaluation, manual transcription of measurements, report assembly, review and sign-off. Historical data was scattered across Excel files and PDFs. Finding the thinnest measurement points meant manually scanning spreadsheets file by file. Producing corrosion summaries for turnaround planning required weeks of consolidation, compressing the engineering decision window before every shutdown.
What changed
deeplify deployed AI-assisted wall thickness measurement analysis across the full campaign. The platform ingests RT images and automatically pre-populates measurements. The system identifies and ranks the thinnest-point locations across all assets, making critical pipes instantly visible without manual scanning. A central DICONDE archive replaces scattered Excel files and PDFs, with corrosion rates calculated automatically from structured inspection history. Certified inspectors retain full authority by reviewing and approving every finding before it is used.
What this enabled
Turnaround scoping decisions are now based on current, complete corrosion data rather than manually assembled summaries. Accurate corrosion rates calculated automatically from structured history feed directly into risk-based inspection planning. Assets approaching thickness thresholds are flagged continuously. Engineers are alerted before the next inspection rather than discovering issues during it.