Reliability modeling for capital project decisions

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dc.contributor.advisorAmbler, Tonyen
dc.contributor.committeeMemberMcCann, R. Bruceen
dc.creatorPoulassichidis, Antoniosen
dc.date.accessioned2011-01-05T20:33:46Zen
dc.date.accessioned2011-01-05T20:33:51Zen
dc.date.accessioned2017-05-11T22:21:01Z
dc.date.available2011-01-05T20:33:46Zen
dc.date.available2011-01-05T20:33:51Zen
dc.date.available2017-05-11T22:21:01Z
dc.date.issued2010-08en
dc.date.submittedAugust 2010en
dc.date.updated2011-01-05T20:33:51Zen
dc.descriptiontexten
dc.description.abstractExploration and Production (E&P) project costs within the oil industry are continuously increasing reflecting a reality of more harsh environments, remote locations with minimal existing infrastructure and cost increases for materials and skilled resources. The significant capital expenditures translate to a number of projects either for new or revamped production facilities. Successful project completion requires a series of correct decisions throughout the project life-cycle namely design, construction, operations, maintenance and decommissioning. Using a Reliability, Availability and Maintainability (RAM) model as part of the project decision process is an E&P industry best practice that recently gained acceptance in Hess Corporation. This paper presents the RAM methodology and the gains from its application in a capital project.en
dc.description.departmentEngineering Managementen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2010-08-1629en
dc.language.isoengen
dc.subjectE&Pen
dc.subjectReliability, Availability and Maintainability modelen
dc.subjectRAMen
dc.subjectMonte Carlo simulationen
dc.subjectCapital project managementen
dc.subjectExploration and Productionen
dc.titleReliability modeling for capital project decisionsen
dc.type.genrethesisen

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