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dc.contributor.authorRolo, Roberto Mentzingenpt_BR
dc.contributor.authorSouza, Ricardo Radtke dept_BR
dc.contributor.authorCosta, Joao Felipe Coimbra Leitept_BR
dc.date.accessioned2017-07-25T02:31:56Zpt_BR
dc.date.issued2017pt_BR
dc.identifier.issn2448-167Xpt_BR
dc.identifier.urihttp://hdl.handle.net/10183/164381pt_BR
dc.description.abstractPrior to every geostatistical estimation or simulation study there is a need for delimiting the geologic domains of the deposit, which is traditionally done manually by a geomodeler in a laborious, time consuming and subjective process. For this reason, novel techniques referred to as implicit modelling have appeared. These techniques provide algorithms that replace the manual digitization process of the traditional methods by some form of automatic procedure. This paper covers a few well established implicit methods currently available with special attention to the signed distance function methodology. A case study based on a real dataset was performed and its applicability discussed. Although it did not replace an experienced geomodeler, the method proved to be capable in creating semi-automatic geological models from the sampling data, especially in the early stages of explorationen
dc.format.mimetypeapplication/pdf
dc.language.isoengpt_BR
dc.relation.ispartofREM : international engineering journal. Ouro Preto, MG. vol. 70, no. 2 (Apr./June 2017), p. 221-229pt_BR
dc.rightsOpen Accessen
dc.subjectImplicit geologic modelingen
dc.subjectModelagem geológicapt_BR
dc.subjectSigned distance functionen
dc.subjectDomainingen
dc.titleSigned distance function implicit geologic modelingpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001024547pt_BR
dc.type.originNacionalpt_BR


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