Signed distance function implicit geologic modeling

Detalhes bibliográficos
Autor(a) principal: Rolo, Roberto Mentzingen
Data de Publicação: 2017
Outros Autores: Souza, Ricardo Radtke de, Costa, Joao Felipe Coimbra Leite
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/164381
Resumo: 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
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spelling Rolo, Roberto MentzingenSouza, Ricardo Radtke deCosta, Joao Felipe Coimbra Leite2017-07-25T02:31:56Z20172448-167Xhttp://hdl.handle.net/10183/164381001024547Prior 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 explorationapplication/pdfengREM : international engineering journal. Ouro Preto, MG. vol. 70, no. 2 (Apr./June 2017), p. 221-229Modelagem geológicaImplicit geologic modelingSigned distance functionDomainingSigned distance function implicit geologic modelinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL001024547.pdf001024547.pdfTexto completo (inglês)application/pdf2376338http://www.lume.ufrgs.br/bitstream/10183/164381/1/001024547.pdf9975c4c70181030f37683c44877320d3MD51TEXT001024547.pdf.txt001024547.pdf.txtExtracted Texttext/plain29745http://www.lume.ufrgs.br/bitstream/10183/164381/2/001024547.pdf.txte33aee0457695e7a671f4ab17669b9daMD52THUMBNAIL001024547.pdf.jpg001024547.pdf.jpgGenerated Thumbnailimage/jpeg2089http://www.lume.ufrgs.br/bitstream/10183/164381/3/001024547.pdf.jpgc2f0118f8ed53b6d277e6f4968116ca2MD5310183/1643812018-10-16 07:58:18.086oai:www.lume.ufrgs.br:10183/164381Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2018-10-16T10:58:18Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Signed distance function implicit geologic modeling
title Signed distance function implicit geologic modeling
spellingShingle Signed distance function implicit geologic modeling
Rolo, Roberto Mentzingen
Modelagem geológica
Implicit geologic modeling
Signed distance function
Domaining
title_short Signed distance function implicit geologic modeling
title_full Signed distance function implicit geologic modeling
title_fullStr Signed distance function implicit geologic modeling
title_full_unstemmed Signed distance function implicit geologic modeling
title_sort Signed distance function implicit geologic modeling
author Rolo, Roberto Mentzingen
author_facet Rolo, Roberto Mentzingen
Souza, Ricardo Radtke de
Costa, Joao Felipe Coimbra Leite
author_role author
author2 Souza, Ricardo Radtke de
Costa, Joao Felipe Coimbra Leite
author2_role author
author
dc.contributor.author.fl_str_mv Rolo, Roberto Mentzingen
Souza, Ricardo Radtke de
Costa, Joao Felipe Coimbra Leite
dc.subject.por.fl_str_mv Modelagem geológica
topic Modelagem geológica
Implicit geologic modeling
Signed distance function
Domaining
dc.subject.eng.fl_str_mv Implicit geologic modeling
Signed distance function
Domaining
description 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
publishDate 2017
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dc.relation.ispartof.pt_BR.fl_str_mv REM : international engineering journal. Ouro Preto, MG. vol. 70, no. 2 (Apr./June 2017), p. 221-229
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