Inspection of offshore pipelines is essential to provide vital information required for integrity assessment to allow data driven engineering decisions to be made and prevent costly failures. This paper presents experience from applying Internal Corrosion Direct Assessment (ICDA) for offshore pipelines in the North Sea.
Bayesian networks (BN) are useful tools for corrosion modeling. This paper is a case study demonstrating how to perform Internal Corrosion Direct Assessment (ICDA) using BN modeling with limited data. A BN model was developed for ICDA of a 50 km refined oil pipeline. Internal corrosion probability of failure along the pipeline was assessed.