Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/345820
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampSchiozer, Denis José-
dc.contributor.authorunicampAvansi, Guilherme Daniel-
dc.contributor.authorunicampSantos, Antonio Alberto de Souza dos-
dc.typeArtigopt_BR
dc.titleRisk quantification combining geostatistical realizations and discretized latin hypercubept_BR
dc.contributor.authorSchiozer, Denis José-
dc.contributor.authorAvansi, Guilherme Daniel-
dc.contributor.authorSantos, Antonio Alberto de Souza dos-
dc.subjectHipercubopt_BR
dc.subjectReservatóriospt_BR
dc.subjectPetróleopt_BR
dc.subject.otherlanguagePetroleumpt_BR
dc.subject.otherlanguageReservoirspt_BR
dc.subject.otherlanguageHypercubept_BR
dc.description.abstractThis work presents an alternative way to combine different types of uncertainty to quantify risk in petroleum field development. Risk quantification is key in decision analysis. Some areas need special attention, namely: (1) generating simulated scenarios compatible with geological models and (2) statistical techniques that address different types of uncertainty (especially continuous and discrete attributes, and realizations represented by geostatistical images) using the fewest possible simulation runs. Several statistical techniques address this, but most present significant drawbacks, potentially yielding incorrect risk quantification or demanding excessive time (for simulation runs) to reach good results. This simple, efficient methodology combines geostatistical realizations with other types of uncertainty (e.g., reservoir structure, fluid characterization and economic parameters) using a Discretized Latin Hypercube sampling. To verify the results, we applied the methodology to the UNISIM-I-D benchmark case showing that the method can be applied to a complex case yielding good results. We found the methodology to meet our initial objectives, to reliably and easily quantify risk within a minimal timeframept_BR
dc.relation.ispartofJournal of the Brazilian Society of Mechanical Sciences and Engineeringpt_BR
dc.relation.ispartofabbreviationJ. Braz. Soc. Mech. Sci. Eng.pt_BR
dc.publisher.cityHeidelbergpt_BR
dc.publisher.countryAlemanhapt_BR
dc.publisherSpringerpt_BR
dc.date.issued2017-
dc.language.isoengpt_BR
dc.description.volume39pt_BR
dc.description.firstpage575pt_BR
dc.description.lastpage587pt_BR
dc.rightsFechadopt_BR
dc.sourceSCOPUSpt_BR
dc.identifier.issn1678-5878pt_BR
dc.identifier.eissn1806-3691pt_BR
dc.identifier.doi10.1007/s40430-016-0576-9pt_BR
dc.identifier.urlhttps://link.springer.com/article/10.1007/s40430-016-0576-9pt_BR
dc.date.available2020-07-21T13:48:58Z-
dc.date.accessioned2020-07-21T13:48:58Z-
dc.description.provenanceSubmitted by Susilene Barbosa da Silva (susilene@unicamp.br) on 2020-07-21T13:48:58Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-07T20:41:04Z : No. of bitstreams: 1 2-s2.0-85008883774.pdf: 4435876 bytes, checksum: 955bb5937b10d7a2bd0d56131fb88fe2 (MD5) Bitstreams deleted on 2021-01-08T14:11:00Z: 2-s2.0-85008883774.pdf,. Added 1 bitstream(s) on 2021-01-08T14:14:39Z : No. of bitstreams: 1 2-s2.0-85008883774.pdf: 4435876 bytes, checksum: 955bb5937b10d7a2bd0d56131fb88fe2 (MD5) Bitstreams deleted on 2021-01-13T13:27:33Z: 2-s2.0-85008883774.pdf,. Added 1 bitstream(s) on 2021-01-13T13:30:30Z : No. of bitstreams: 1 2-s2.0-85008883774.pdf: 4435876 bytes, checksum: 955bb5937b10d7a2bd0d56131fb88fe2 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-07-21T13:48:58Z (GMT). No. of bitstreams: 0 Previous issue date: 2017en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/345820-
dc.contributor.departmentDepartamento de Engenharia de Petróleopt_BR
dc.contributor.departmentDepartamento de Energiapt_BR
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.subject.keywordRisk quantificationpt_BR
dc.subject.keywordGeostatisticspt_BR
dc.identifier.source2-s2.0-85008883774pt_BR
dc.creator.orcid0000-0001-6702-104Xpt_BR
dc.creator.orcid0000-0003-1720-5080pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.type.formDocumento técnicopt_BR
dc.description.sponsorNoteThe authors would like to thank UNISIM, DE-FEM, CEPETRO, UNICAMP and PETROBRAS for supporting this work. We also thank CMG and Schlumberger for software licensespt_BR
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