The overall objective of Phase II covered by the present report, has been to implement the preferred Phase I stochastic metal loss analysis model in an effective self-standing Excel tool for matched repeat ILI data: the Hierarchical Stochastic Corrosion Growth Model (HSCGM). This analysis tool can deal with up to 5 repeat inspections and up to 1,000 (hierarchical) defects. It is a deliverable of this Project and it has been satisfactory verified and tested; its main mission is to allow flawless experimentation with the practical use of consistent stochastic metal loss processes in the context ...
The overall objective of Phase II covered by the present report, has been to implement the preferred Phase I stochastic metal loss analysis model in an effective self-standing Excel tool for matched repeat ILI data: the Hierarchical Stochastic Corrosion Growth Model (HSCGM). This analysis tool can deal with up to 5 repeat inspections and up to 1,000 (hierarchical) defects. It is a deliverable of this Project and it has been satisfactory verified and tested; its main mission is to allow flawless experimentation with the practical use of consistent stochastic metal loss processes in the context of repeat ILI inspections for pipeline integrity assessment, to explore its numerous analysis options, features, and results in the context of CGRs for pipeline integrity assessment. This report provides all the details and technical features of the HSCGM analysis tool, based on the Bayesian stochastic process approach described in the Phase I report.