Dynamic reliability analysis for residual life assessment of corroded subsea pipelines

Reza Aulia* (Corresponding Author), Henry Tan, Srinivas Sriramula

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Failure threats in subsea pipelines are hard to inspect, but parameters influencing them are easier to observe. Hence, nowadays, Bayesian network models became more relevant, as the model can be updated with the sparse observations while considering the underlying uncertainty. This holds for failure threat assessment of subsea pipelines, specifically for a highly random corrosion mechanism, which has not been captured in the current traditional assessments appropriately. However, a number of researchers stated that it is difficult to build the Conditional Probability Table (CPT) of the Bayesian networks. In such cases, it has been suggested to employ expert knowledge to determine the conditional probability distributions, which involves some uncertainties and high data deviation. This paper focusses on developing a dynamic Bayesian network-based framework to minimise the inputs from the expert domain in the CPT development, while providing an efficient option to analyse the pipeline residual life due to corrosion threat.

Original languageEnglish
Pages (from-to)410-422
Number of pages13
JournalShips and Offshore Structures
Volume16
Issue number4
Early online date10 Mar 2020
DOIs
Publication statusPublished - 1 Jan 2021

Keywords

  • Bayesian network
  • subsea piplelines
  • dynamic reliability
  • life extension
  • subsea pipelines
  • NETWORK
  • GAS-PIPELINES
  • CORROSION
  • MODEL
  • PREDICTION
  • JUDGMENT
  • OIL
  • SYSTEMS

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