Automatic Ultrasonic Testing (AUT) systems for pipeline girth weld inspections are usually subjected to a qualification process.This process consists of assessment of performance capabilities including detection, sizing, temperature range and repeatability.One of the most demanding qualification programmes is described in DNV ST-F101 Appendix E [1].With the introduction of the AUT module in the 2023 edition of CIVA simulation software, the incorporation of metamodeling Medical and Ambulatory supplies / Apparel allows users to predict detection reliability via probability of detection (POD) and sizing accuracy of the zonal discrimination method (ZDM) using amplitude apportioning.
Part 1 of this project demonstrated the ability of CIVA to simulate the calibration block and strip chart output.In Part 2 we illustrate the techniques that can be used to predict POD and sizing accuracy as might be done in a system qualification.Results compare GREENS BERRY well to field data.