Reliability analysis of subsea blowout preventers with use of Bayesian networks

Subsea blowout preventers (BOPs) play crucial roles in ensuring a safe drilling condition and failures to these BOPs may cause catastrophic accidents such as the Deepwater Horizon accident. Due to the recent accidents which occurred during the drilling activities, there has been a realisation of the...

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Bibliographic Details
Main Author: Hia, Wei Jie
Other Authors: Dimitrios Konovessis
Format: Final Year Project (FYP)
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/63972
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author Hia, Wei Jie
author2 Dimitrios Konovessis
author_facet Dimitrios Konovessis
Hia, Wei Jie
author_sort Hia, Wei Jie
collection NTU
description Subsea blowout preventers (BOPs) play crucial roles in ensuring a safe drilling condition and failures to these BOPs may cause catastrophic accidents such as the Deepwater Horizon accident. Due to the recent accidents which occurred during the drilling activities, there has been a realisation of the importance of performing reliability analysis for subsea blowout preventer systems to ensure its functionality. Traditional methods previously used for the evaluation like the Fault Tree Analysis were reviewed and subsequently, Bayesian Networks, a technique that was gaining increasing attention but until now still rarely used for the reliability evaluation for BOPs was introduced and applied on different cases, analysing on the various effects and causes leading to the failures, to showcase its ability and advantages.
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spelling ntu-10356/639722023-03-04T18:45:26Z Reliability analysis of subsea blowout preventers with use of Bayesian networks Hia, Wei Jie Dimitrios Konovessis School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Subsea blowout preventers (BOPs) play crucial roles in ensuring a safe drilling condition and failures to these BOPs may cause catastrophic accidents such as the Deepwater Horizon accident. Due to the recent accidents which occurred during the drilling activities, there has been a realisation of the importance of performing reliability analysis for subsea blowout preventer systems to ensure its functionality. Traditional methods previously used for the evaluation like the Fault Tree Analysis were reviewed and subsequently, Bayesian Networks, a technique that was gaining increasing attention but until now still rarely used for the reliability evaluation for BOPs was introduced and applied on different cases, analysing on the various effects and causes leading to the failures, to showcase its ability and advantages. Bachelor of Engineering (Mechanical Engineering) 2015-05-21T02:29:26Z 2015-05-21T02:29:26Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63972 en Nanyang Technological University 84 p. application/pdf
spellingShingle DRNTU::Engineering::Mechanical engineering
Hia, Wei Jie
Reliability analysis of subsea blowout preventers with use of Bayesian networks
title Reliability analysis of subsea blowout preventers with use of Bayesian networks
title_full Reliability analysis of subsea blowout preventers with use of Bayesian networks
title_fullStr Reliability analysis of subsea blowout preventers with use of Bayesian networks
title_full_unstemmed Reliability analysis of subsea blowout preventers with use of Bayesian networks
title_short Reliability analysis of subsea blowout preventers with use of Bayesian networks
title_sort reliability analysis of subsea blowout preventers with use of bayesian networks
topic DRNTU::Engineering::Mechanical engineering
url http://hdl.handle.net/10356/63972
work_keys_str_mv AT hiaweijie reliabilityanalysisofsubseablowoutpreventerswithuseofbayesiannetworks