Show simple item record

dc.contributor.authorOssai, Chinedu Ishiodu
dc.contributor.supervisorDr Ian Davies
dc.contributor.supervisorDr Brian Boswell

Pipeline corrosion is a major challenge facing many oil and gas industries today because of the enormous downtime associated with corrosion related failures. This research utilized field data for modelling the reliability of aged corroded pipelines via probabilistic-based modelling techniques that included Markov decision process. The models developed from this work have been used for estimating the remaining useful life of corroded pipelines and can potentially enhance the integrity of future operational pipelines.

dc.publisherCurtin University
dc.titlePredictive modelling and reliability analysis of aged, corroded pipelines
curtin.departmentDepartment of Mechanical Engineering
curtin.accessStatusOpen access

Files in this item


This item appears in the following Collection(s)

Show simple item record