Abstract
Scheduled in-line inspection (ILI) has been proved to be the best approach for the integrity assessment of in-service oil and gas pipelines. Corrosion growth rates are essential to identify real active corrosion defects and assess the future integrity of pipeline. However, it is difficult to determine the accurate corrosion rates only based on one single ILI run. Alignment and comparison between multi inspection runs are necessary. In this study, two inspection datasets of Moda crude oil pipeline are aligned and metal loss defects are compared to identify active corrosion and calculate real corrosion growth rates. Raw inspection signals of highlighted defects are reviewed and analyzed. The integrity assessment of this pipeline is performed based on the comparison work.
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