Predictive modelling and reliability analysis of aged, corroded pipelines
Access Status
Open access
Authors
Date
2016Supervisor
Dr Ian Davies
Dr Brian Boswell
Type
Thesis
Education Level
Ph.D.
Metadata
Show full item recordAbstract
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.
School
Department of Mechanical Engineering
Collection
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