Availability analysis of subsea blowout preventer using Markov model considering demand rate
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Availabilities of subsea Blowout Preventers (BOP) in the Gulf of Mexico Outer Continental Shelf (GoMOCS) is investigated using a Markov method. An updated β factor model by SINTEF is used for common-cause failuresin multiple redundant systems. Coefficient values of failure rates for the Markov model are derived using the β factormodel of the PDS (reliability of computer-based safety systems, Norwegian acronym) method. The blind shear rampreventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models consideringthe demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. Theresults show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventersor annular preventers enhance the availability of the subsea BOP. Also control systems (PODs) and connectors arecontributable components to improve the availability of the subsea BOPs based on sensitivity analysis.
Abstract
Availabilities of subsea Blowout Preventers (BOP) in the Gulf of Mexico Outer Continental Shelf (GoMOCS) is investigated using a Markov method. An updated β factor model by SINTEF is used for common-cause failuresin multiple redundant systems. Coefficient values of failure rates for the Markov model are derived using the β factormodel of the PDS (reliability of computer-based safety systems, Norwegian acronym) method. The blind shear rampreventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models consideringthe demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. Theresults show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventersor annular preventers enhance the availability of the subsea BOP. Also control systems (PODs) and connectors arecontributable components to improve the availability of the subsea BOPs based on sensitivity analysis.
참고문헌 (15)
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