Availability analysis of subsea blowout preventer using Markov model considering demand rate

Availability analysis of subsea blowout preventer using Markov model considering demand rate

Availabilities of subsea Blowout Preventers (BOP) in the Gulf of Mexico Outer Continental Shelf (GoM OCS) is investigated using a Markov method. An updated β factor model by SINTEF is used for common-cause failures in multiple redundant systems. Coefficient values of failure rates for the Markov mod...

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Bibliographic Details
Main Authors: Kim Sunghee, Chung Soyeon, Yang Youngsoon
Format: Article
Language:English
Published: Elsevier 2014-12-01
Series:International Journal of Naval Architecture and Ocean Engineering
Subjects:
Subsea blowout preventer (BOP)
Availability
Markov model
Demand rate
β Factor model
US Gulf of Mexico outer continental shelf (US GOM OCS)
Online Access:http://www.degruyter.com/view/j/ijnaoe.2014.6.issue-4/ijnaoe-2013-0211/ijnaoe-2013-0211.xml?format=INT

Internet

http://www.degruyter.com/view/j/ijnaoe.2014.6.issue-4/ijnaoe-2013-0211/ijnaoe-2013-0211.xml?format=INT

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