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Reliability Analysis of Subsea Blowout Preventers with Condition-based Maintenance using Stochastic Petri Nets

Elusakin, Tobi, Shafiee, Mahmood (2020) Reliability Analysis of Subsea Blowout Preventers with Condition-based Maintenance using Stochastic Petri Nets. Journal of Loss Prevention in the Process Industries, 63 . Article Number 104026. ISSN 0950-4230. (doi:10.1016/j.jlp.2019.104026) (KAR id:79676)


Blowout Preventer (BOP) has maintained its function as a safety barrier and the last line of defence against oil and gas spills since its development in the early 1900s. However, as drilling and exploration activities move further offshore, challenges pertaining to reliable operation of the subsea BOP systems continue to be a source of concern for stakeholders in the industry. In spite of recent advancements in reliability analysis of safety instrumented systems (SISs), the research on reliability assessment of BOP is still lacking in some regards. There are gaps in the literature with respect to the incorporation of preventive maintenance (PM) strategies as well as dynamic operating conditions into BOP reliability analysis. To address these gaps, this paper develops an advanced analysis method using stochastic Petri nets (SPN) to estimate the reliability of subsea BOP systems subject to condition-based maintenance (CBM) with different failure modes. The BOP system is divided into five subsystems which are connected in series with each other and categorised into degrading and binary units. The performance of the BOP system in terms of availability, reliability and mean-time-between failures (MTBF) is obtained and analysed. A sensitivity analysis is also performed to evaluate the effect of fault coverage factor and redundancy design on system performance. The results show that both the fault coverage factor and redundancy have significant impact on the BOP's reliability, availability and MTBF.

Item Type: Article
DOI/Identification number: 10.1016/j.jlp.2019.104026
Uncontrolled keywords: Blowout preventer (BOP); Condition-based maintenance (CBM); Reliability; Availability; Mean-time between failures (MTBF); Stochastic Petri nets (SPN)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
T Technology > TJ Mechanical engineering and machinery
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 22 Jan 2020 22:00 UTC
Last Modified: 09 Dec 2022 03:37 UTC
Resource URI: (The current URI for this page, for reference purposes)

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