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dc.contributor.advisorBickel, J. Ericen
dc.creatorMozano, Jennifer Maileen
dc.date.accessioned2010-11-11T16:30:03Zen
dc.date.accessioned2010-11-11T16:30:09Zen
dc.date.available2010-11-11T16:30:03Zen
dc.date.available2010-11-11T16:30:09Zen
dc.date.issued2010-05en
dc.date.submittedMay 2010en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2010-05-821en
dc.descriptiontexten
dc.description.abstractThis research examines the trade-off between the cost of adding complexity to a model and the value added to the results within the context of decision-making. It seeks to determine how complex a model should be in order to fit it to the purpose at hand. The report begins with a discussion on general modeling theory and model complexity. It next considers the specific case of petroleum reservoir models and the existing research that has compared modeling results with model complexity levels. Finally, it presents original results applying Monte Carlo sampling to a drilling decision scenario and to a one-dimensional reservoir model where a cylindrical oil field is represented by different numbers of cells and the results compared.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectComplexityen
dc.subjectModel complexityen
dc.subjectPetroleum reservoir modelingen
dc.subjectModels for decision-makingen
dc.titleDeciding among models : a decision-theoretic view of model complexityen
dc.date.updated2010-11-11T16:30:09Zen
dc.contributor.committeeMemberLake, Larry W.en
dc.description.departmentMechanical Engineeringen
dc.type.genrethesisen
thesis.degree.departmentMechanical Engineeringen
thesis.degree.disciplineOperations Research and Industrial Engineeringen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen


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