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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.typeArtigo de Periódicopt_BR
dc.titleReservoir Characterization Using Electrofacies Analysis In The Sandstone Reservoir Of The Norne Field (offshore Norway)pt_BR
dc.contributor.authorCorreiapt_BR
dc.contributor.authorGG; Schiozerpt_BR
dc.contributor.authorDJpt_BR
unicamp.author.emailgil@dep.fem.unicamp.brpt_BR
dc.subjectMid-norwaypt_BR
dc.subjectNeural-networkspt_BR
dc.subjectHalten Terracept_BR
dc.subjectHeidrun Fieldpt_BR
dc.subjectLithofaciespt_BR
dc.description.abstractThe Norne Field reservoir sandstone comprises Early-Middle Jurassic interbedded sandstones and shales to massive sandstones with some thin continuous cemented interlayers. A detailed characterization of the geological heterogeneities through electrofacies analysis, together with the simulation grid refinement, has been used to derive representative facies and petrophysical models (porosity, net-to-gross (NtG) and permeability). An electrofacies database was created comprising six rock types, ranging from cemented carbonates through shales and into clean sandstones. In the absence of available cored sections, the electrofacies scheme was validated by the geological and petrophysical reports of 26 wells using gamma-ray, neutron and density logs. An artificial neural network algorithm enabled the probabilistic discrimination of the different types of electrofacies, with a sampling rate of 0.125 m. This high-resolution electrofacies database, together with a high-resolution geomodel grid, enabled us to map the fine-scale heterogeneities mainly materialized by decimetre shales and cemented layers that could represent stratigraphic barriers to vertical fluid displacement. The high-resolution datasets created in this study will form the working basis on which to perform a probabilistic and multi-objective history matching guided by production and 4D seismic data, and assisted by geostatistical parameterization techniques.en
dc.relation.ispartofPetroleum Geosciencept_BR
dc.publisher.cityBATHpt_BR
dc.publisherGEOLOGICAL SOC PUBL HOUSEpt_BR
dc.date.issued2016pt_BR
dc.identifier.citationPetroleum Geoscience. GEOLOGICAL SOC PUBL HOUSE, n. 22, n. 2, p. 165 - 176.pt_BR
dc.language.isoEnglishpt_BR
dc.description.volume22pt_BR
dc.description.issuenumberpt_BR
dc.description.firstpage165pt_BR
dc.description.lastpage176pt_BR
dc.rightsfechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1354-0793pt_BR
dc.identifier.wosidWOS:000376661700005pt_BR
dc.identifier.doi10.1144/petgeo2015-056pt_BR
dc.identifier.urlhttp://pg.lyellcollection.org/content/early/2016/02/08/petgeo2015-056pt_BR
dc.description.sponsorshipBG Grouppt_BR
dc.description.sponsorshipUNISIMpt_BR
dc.description.sponsorshipCEPETROpt_BR
dc.description.sponsorshipDEP-FEM-UNICAMPpt_BR
dc.date.available2016-12-06T18:31:15Z-
dc.date.accessioned2016-12-06T18:31:15Z-
dc.description.provenanceMade available in DSpace on 2016-12-06T18:31:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2016en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/320254-
dc.description.conferencelocationpt_BR
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