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RAM analysis of dynamic positioning system: An approach taking into account uncertainties and criticality equipment ratings

dc.contributor.authorClavijo, Maria V
dc.contributor.authorSchleder, Adriana M [UNESP]
dc.contributor.authorDroguett, Enrique Lopez
dc.contributor.authorMartins, Marcelo R
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversity of California
dc.date.accessioned2022-04-28T19:46:03Z
dc.date.available2022-04-28T19:46:03Z
dc.date.issued2021-01-01
dc.description.abstractCurrently, a Dynamic Position (DP) System is commonly used for offshore operations. However, DP failures may generate environmental and economic losses; thus, this paper presents the Reliability, Availability and Maintainability (RAM) analysis for two different generations of DP system (DP2 and DP3) used in drilling operations. In addition to the RAM analysis, the approach proposed herein considers the uncertainties present in the equipment failure data and provides more information about criticality equipment ratings and probability density functions (pdf) of the repair times. The reliability analysis shows that, for 3 months of operation, the total failure probability of the DP2 system is 1.52% whereas this probability for the DP3 system is only 0.16%. The results reveal that the bus-bar is the most critical equipment of the DP2 system, whereas the wind sensor represents the priority equipment in the DP3 system. Using 90% confidence level, each DP configuration was evaluated for a 1-year operation, finding a reliability mean equal to 70.39% and 86.77% for the DP2 system and the DP3 system, respectively. The DP2 system asymptotic availability tends to present a constant value of 99.98% whereas for the DP3 system, it tends to be 99.99%. Finally, the maintainability analysis allows concluding that the mean time for system repair is expected to be 3.6 h. This paper presents a logical pathway for analysts, operators, and reliability engineers of the oil and gas industry.en
dc.description.affiliationAnalysis Evaluation and Risk Management Laboratory Naval Architecture Ocean Engineering Department University of São Paulo
dc.description.affiliationDepartment of Production Engineering Sao Paulo State University – UNESP
dc.description.affiliationDepartment of Civil and Environmental Engineering & Garrick Institute for the Risk Sciences University of California
dc.description.affiliationUnespDepartment of Production Engineering Sao Paulo State University – UNESP
dc.identifierhttp://dx.doi.org/10.1177/1748006X211051805
dc.identifier.citationProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.
dc.identifier.doi10.1177/1748006X211051805
dc.identifier.issn1748-0078
dc.identifier.issn1748-006X
dc.identifier.scopus2-s2.0-85117324434
dc.identifier.urihttp://hdl.handle.net/11449/222675
dc.language.isoeng
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
dc.sourceScopus
dc.subjectdynamic positioning system
dc.subjectfault tree analysis
dc.subjectMonte Carlo simulation
dc.subjectRAM Analysis
dc.subjectuncertainty propagation
dc.titleRAM analysis of dynamic positioning system: An approach taking into account uncertainties and criticality equipment ratingsen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0003-2055-2200[2]
unesp.author.orcid0000-0002-4466-4437[4]

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