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Signed distance function implicit geologic modeling
dc.contributor.author | Rolo, Roberto Mentzingen | pt_BR |
dc.contributor.author | Souza, Ricardo Radtke de | pt_BR |
dc.contributor.author | Costa, Joao Felipe Coimbra Leite | pt_BR |
dc.date.accessioned | 2017-07-25T02:31:56Z | pt_BR |
dc.date.issued | 2017 | pt_BR |
dc.identifier.issn | 2448-167X | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/164381 | pt_BR |
dc.description.abstract | Prior 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 exploration | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | REM : international engineering journal. Ouro Preto, MG. vol. 70, no. 2 (Apr./June 2017), p. 221-229 | pt_BR |
dc.rights | Open Access | en |
dc.subject | Implicit geologic modeling | en |
dc.subject | Modelagem geológica | pt_BR |
dc.subject | Signed distance function | en |
dc.subject | Domaining | en |
dc.title | Signed distance function implicit geologic modeling | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 001024547 | pt_BR |
dc.type.origin | Nacional | pt_BR |
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