Automated signal comparison and normalization - an advanced method of comparing repeat ILI data

摘要

PIPELINE INTEGRITY PLANNING requires reliable corrosion prognosis. Both under andrnover-estimation of corrosion growth can have significant consequences. Depth differencesrnfrom two consecutive ILI runs help in this regard, but individual values may sufferrnscattering and increase repair costs. Such costs can be reduced by intelligent averaging, whichrnmay suppress individual aggressive anomalies. Whichever strategy the individual optimizationrnprocess of an integrity analysis prefers between the conflicting priorities of accepting eitherrnindividual or generalized errors, the highest quality ILI input brings significant benefit in anyrncase.