Signed distance function implicit geologic modeling
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | REM - International Engineering Journal |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2017000200221 |
Resumo: | 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. |
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oai:scielo:S2448-167X2017000200221 |
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REM - International Engineering Journal |
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Signed distance function implicit geologic modelingimplicit geologic modelingsigned distance functiondomainingAbstract 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.Fundação Gorceix2017-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2017000200221REM - International Engineering Journal v.70 n.2 2017reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672016700146info:eu-repo/semantics/openAccessRolo,Roberto MentzingenRadtke,RicardoCosta,João Felipe Coimbra Leiteeng2017-04-19T00:00:00Zoai:scielo:S2448-167X2017000200221Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2017-04-19T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false |
dc.title.none.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 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 Radtke,Ricardo Costa,João Felipe Coimbra Leite |
author_role |
author |
author2 |
Radtke,Ricardo Costa,João Felipe Coimbra Leite |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rolo,Roberto Mentzingen Radtke,Ricardo Costa,João Felipe Coimbra Leite |
dc.subject.por.fl_str_mv |
implicit geologic modeling signed distance function domaining |
topic |
implicit geologic modeling signed distance function domaining |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2017000200221 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2017000200221 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0370-44672016700146 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Fundação Gorceix |
publisher.none.fl_str_mv |
Fundação Gorceix |
dc.source.none.fl_str_mv |
REM - International Engineering Journal v.70 n.2 2017 reponame:REM - International Engineering Journal instname:Fundação Gorceix (FG) instacron:FG |
instname_str |
Fundação Gorceix (FG) |
instacron_str |
FG |
institution |
FG |
reponame_str |
REM - International Engineering Journal |
collection |
REM - International Engineering Journal |
repository.name.fl_str_mv |
REM - International Engineering Journal - Fundação Gorceix (FG) |
repository.mail.fl_str_mv |
||editor@rem.com.br |
_version_ |
1754734690571386880 |