{"id":{"repo_id":"texas","oai_identifier":"oai:repositories.lib.utexas.edu:2152/ETD-UT-2010-05-821"},"canonical_url":"https://search.dev.ndltd.org/etd/texas/oai:repositories.lib.utexas.edu:2152/ETD-UT-2010-05-821","repository":{"repo_id":"texas","name":"University of Texas","base_url":"https://repositories.lib.utexas.edu/server/oai/request"},"display":{"title":"Deciding among models : a decision-theoretic view of model complexity","abstract":"This 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.","abstract_html":"This 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.","abstract_has_math":false,"creators":["Mozano, Jennifer Maile"],"institution":"University of Texas at Austin","degree_name":"Master of Science in Engineering","degree_level":"Masters","degree_discipline":"Operations Research and Industrial Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Bickel, J. Eric"],"committee_chairs":[],"committee_members":["Lake, Larry W."],"year":2010,"date_issued":"2010-05","date_published":"2010-05","updated_at":"2026-07-24T05:01:20Z","subjects":["Complexity","Model complexity","Petroleum reservoir modeling","Models for decision-making"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2152/ETD-UT-2010-05-821","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Bickel, J. Eric"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Lake, Larry W."]},{"key":"dc:creator","label":"Author","values":["Mozano, Jennifer Maile"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2010-11-11T16:30:03Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2010-11-11T16:30:03Z","2010-11-11T16:30:09Z"]},{"key":"dc:date.issued","label":"Date","values":["2010-05"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Operations Research and Industrial Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Engineering"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Texas at Austin"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Complexity","Model complexity","Petroleum reservoir modeling","Models for decision-making"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/2152/ETD-UT-2010-05-821"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["text"]},{"key":"dc:description.abstract","label":"Abstract","values":["This 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."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Deciding among models : a decision-theoretic view of model complexity"]}]}],"canonical_facts":{"dc:contributor.advisor":["Bickel, J. Eric"],"dc:contributor.committeemember":["Lake, Larry W."],"dc:creator":["Mozano, Jennifer Maile"],"dc:date.accessioned":["2010-11-11T16:30:03Z"],"dc:date.available":["2010-11-11T16:30:03Z","2010-11-11T16:30:09Z"],"dc:date.issued":["2010-05"],"dc:description":["text"],"dc:description.abstract":["This 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."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/2152/ETD-UT-2010-05-821"],"dc:language.iso":["eng"],"dc:subject":["Complexity","Model complexity","Petroleum reservoir modeling","Models for decision-making"],"dc:title":["Deciding among models : a decision-theoretic view of model complexity"],"thesis:degree_discipline":["Operations Research and Industrial Engineering"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science in Engineering"],"thesis:institution_name":["University of Texas at Austin"]},"updated_at":"2026-07-24T05:01:20Z"}