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Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring


Arzaghi, E and Abaei, MM and Abbassi, R and Garaniya, V and Chin, C and Khan, F, Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring, Engineering Failure Analysis, 79 pp. 928-939. ISSN 1350-6307 (2017) [Refereed Article]

Copyright Statement

2017 Elsevier Ltd. All rights reserved.

DOI: doi:10.1016/j.engfailanal.2017.06.003


Research and development in the field of risk-based maintenance of offshore structures has recently attracted large attention due to the significant level of accident risk and the cost associated with maintenance in such remote facilities. The uncertainties associated with the deterioration of these facilities require a sound decision making methodology for maintenance planning. This paper presents a dynamic risk-based methodology for maintenance scheduling of subsea pipelines subjected to fatigue cracks. The developed method can assist the asset managers to select the optimum approach for mitigating the consequences of failure while minimizing the maintenance costs. A Bayesian network is developed to model the probabilistic deterioration process and then it is extended to an influence diagram for estimating the expected utility of each decision alternative. Observation of damage state is included in the model to enhance decision making capacity. To demonstrate the applicability of the methodology, three cases with different fatigue crack incidents on a pipeline are considered. Based on the monitoring results, the model is able to determine whether the maintenance should be performed or not. The economic risk associated with maintenance is also minimized by suggesting the optimum maintenance technique among multiple possible methods such as welding or major repair.

Item Details

Item Type:Refereed Article
Keywords:risk-based maintenance, fatigue crack, subsea pipeline, Bayesian network, influence diagram
Research Division:Engineering
Research Group:Environmental engineering
Research Field:Air pollution modelling and control
Objective Division:Mineral Resources (Excl. Energy Resources)
Objective Group:Environmentally sustainable mineral resource activities
Objective Field:Environmentally sustainable mineral resource activities not elsewhere classified
UTAS Author:Arzaghi, E (Dr Ehsan Arzaghi)
UTAS Author:Abaei, MM (Mr Mohammad Abaei)
UTAS Author:Abbassi, R (Dr Rouzbeh Abbassi)
UTAS Author:Garaniya, V (Associate Professor Vikram Garaniya)
UTAS Author:Chin, C (Dr Chris Chin)
UTAS Author:Khan, F (Professor Faisal Khan)
ID Code:117369
Year Published:2017
Web of Science® Times Cited:59
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-06-08
Last Modified:2018-04-19

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