Abstract
The paper is primarily concerned with the interpretation of in-line inspection data collected using magnetic flux leakage tools to characterize the actual condition of pipelines vulnerable to metal loss corrosion. The paper presents a probabilistic analysis framework to estimate the pipeline reliability incorporating the impact of inspection and repair activities planned over the service life. The framework is applied to determine the optimal inspection interval and the repair strategy that would satisfy a target reliability requirement. To update the pipeline failure probability after maintenance, a practical approximation is developed and validated using Monte Carlo simulation results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
