An efficient procedure for reducing in-line-inspection datasets for structural integrity assessments

摘要

Highlights?The proposed procedure reduces the amount of ILI data requiring detailed analysis.?A geometry-based filter and elastic stress analysis are used to rank flaw severity.?An example of a 12.75in. riser 11km long shows a significant reduction in pits number.AbstractIn-line inspection (ILI) has become a routine procedure in the Oil and Gas industry for performing cost-effective pipeline integrity assessments, allowing continuing monitoring and providing a basis for informed decisions in terms of repair, maintenance or a change to the operating conditions. The amount of ILI data is however immense and dealing with these data from a fitness-for-service point of view poses a significant challenge to the industry. Thus, smart methods for using ILI data in the assessment of the integrity of oil and gas transmission pipelines are essential. The aim of this paper is to propose a screening approach for reducing the amount of ILI inspection data requiring detailed structural integrity assessment. The screening approach