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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| Format: | Article |
| Language: | English |
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Elsevier
2014-12-01
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| Series: | International Journal of Naval Architecture and Ocean Engineering |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/ijnaoe.2014.6.issue-4/ijnaoe-2013-0211/ijnaoe-2013-0211.xml?format=INT |
| _version_ | 1811194377901441024 |
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| author | Kim Sunghee Chung Soyeon Yang Youngsoon |
| author_facet | Kim Sunghee Chung Soyeon Yang Youngsoon |
| author_sort | Kim Sunghee |
| collection | DOAJ |
| description | 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 model are derived using the β factor model of the PDS (reliability of computer-based safety systems, Norwegian acronym) method. The blind shear ram preventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models considering the demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. The results show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventers or annular preventers enhance the availability of the subsea BOP. Also control systems (PODs) and connectors are contributable components to improve the availability of the subsea BOPs based on sensitivity analysis. |
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| format | Article |
| id | doaj.art-de8e9f5f722347189f158e4e7a2b16b9 |
| institution | Directory Open Access Journal |
| issn | 2092-6782 |
| language | English |
| last_indexed | 2024-04-12T00:25:01Z |
| publishDate | 2014-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Naval Architecture and Ocean Engineering |
| spelling | doaj.art-de8e9f5f722347189f158e4e7a2b16b92022-12-22T03:55:34ZengElsevierInternational Journal of Naval Architecture and Ocean Engineering2092-67822014-12-016477578710.2478/ijnaoe-2013-0211ijnaoe-2013-0211Availability analysis of subsea blowout preventer using Markov model considering demand rateKim Sunghee0Chung Soyeon1Yang Youngsoon2Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, KoreaDepartment of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, KoreaDepartment of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, KoreaAvailabilities 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 model are derived using the β factor model of the PDS (reliability of computer-based safety systems, Norwegian acronym) method. The blind shear ram preventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models considering the demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. The results show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventers or annular preventers enhance the availability of the subsea BOP. Also control systems (PODs) and connectors are contributable components to improve the availability of the subsea BOPs based on sensitivity analysis.http://www.degruyter.com/view/j/ijnaoe.2014.6.issue-4/ijnaoe-2013-0211/ijnaoe-2013-0211.xml?format=INTSubsea blowout preventer (BOP)AvailabilityMarkov modelDemand rateβ Factor modelUS Gulf of Mexico outer continental shelf (US GOM OCS) |
| spellingShingle | Kim Sunghee Chung Soyeon Yang Youngsoon Availability analysis of subsea blowout preventer using Markov model considering demand rate International Journal of Naval Architecture and Ocean Engineering Subsea blowout preventer (BOP) Availability Markov model Demand rate β Factor model US Gulf of Mexico outer continental shelf (US GOM OCS) |
| title | Availability analysis of subsea blowout preventer using Markov model considering demand rate |
| title_full | Availability analysis of subsea blowout preventer using Markov model considering demand rate |
| title_fullStr | Availability analysis of subsea blowout preventer using Markov model considering demand rate |
| title_full_unstemmed | Availability analysis of subsea blowout preventer using Markov model considering demand rate |
| title_short | Availability analysis of subsea blowout preventer using Markov model considering demand rate |
| title_sort | availability analysis of subsea blowout preventer using markov model considering demand rate |
| topic | Subsea blowout preventer (BOP) Availability Markov model Demand rate β Factor model US Gulf of Mexico outer continental shelf (US GOM OCS) |
| url | http://www.degruyter.com/view/j/ijnaoe.2014.6.issue-4/ijnaoe-2013-0211/ijnaoe-2013-0211.xml?format=INT |
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