Seismic interpretation of self-organizing maps using 2D color displays

Detalhes bibliográficos
Autor(a) principal: Matos,Marcílio Castro de
Data de Publicação: 2010
Outros Autores: Marfurt,Kurt J., Johann,Paulo R.S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Geofísica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-261X2010000400008
Resumo: Classification without supervision of patterns into groups is formally called clustering. Depending on the application area these patterns are called data lists, observations or vectors. For exploration geophysicists, these patterns are usually associated with seismic attributes, seismic waveforms or seismic facies. The main objective of this paper is to show how one of the most popular clustering algorithms - Kohonen self-organizing maps, can be applied to enhance seismic interpretation analysis associated with one and two-dimensional colormaps.
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spelling Seismic interpretation of self-organizing maps using 2D color displaysself-organizing mapsKohonenclassificationseismic faciesClassification without supervision of patterns into groups is formally called clustering. Depending on the application area these patterns are called data lists, observations or vectors. For exploration geophysicists, these patterns are usually associated with seismic attributes, seismic waveforms or seismic facies. The main objective of this paper is to show how one of the most popular clustering algorithms - Kohonen self-organizing maps, can be applied to enhance seismic interpretation analysis associated with one and two-dimensional colormaps.Sociedade Brasileira de Geofísica2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-261X2010000400008Revista Brasileira de Geofísica v.28 n.4 2010reponame:Revista Brasileira de Geofísica (Online)instname:Sociedade Brasileira de Geofísica (SBG)instacron:SBG10.1590/S0102-261X2010000400008info:eu-repo/semantics/openAccessMatos,Marcílio Castro deMarfurt,Kurt J.Johann,Paulo R.S.eng2011-05-03T00:00:00Zoai:scielo:S0102-261X2010000400008Revistahttp://www.scielo.br/rbgONGhttps://old.scielo.br/oai/scielo-oai.php||sbgf@sbgf.org.br1809-45110102-261Xopendoar:2011-05-03T00:00Revista Brasileira de Geofísica (Online) - Sociedade Brasileira de Geofísica (SBG)false
dc.title.none.fl_str_mv Seismic interpretation of self-organizing maps using 2D color displays
title Seismic interpretation of self-organizing maps using 2D color displays
spellingShingle Seismic interpretation of self-organizing maps using 2D color displays
Matos,Marcílio Castro de
self-organizing maps
Kohonen
classification
seismic facies
title_short Seismic interpretation of self-organizing maps using 2D color displays
title_full Seismic interpretation of self-organizing maps using 2D color displays
title_fullStr Seismic interpretation of self-organizing maps using 2D color displays
title_full_unstemmed Seismic interpretation of self-organizing maps using 2D color displays
title_sort Seismic interpretation of self-organizing maps using 2D color displays
author Matos,Marcílio Castro de
author_facet Matos,Marcílio Castro de
Marfurt,Kurt J.
Johann,Paulo R.S.
author_role author
author2 Marfurt,Kurt J.
Johann,Paulo R.S.
author2_role author
author
dc.contributor.author.fl_str_mv Matos,Marcílio Castro de
Marfurt,Kurt J.
Johann,Paulo R.S.
dc.subject.por.fl_str_mv self-organizing maps
Kohonen
classification
seismic facies
topic self-organizing maps
Kohonen
classification
seismic facies
description Classification without supervision of patterns into groups is formally called clustering. Depending on the application area these patterns are called data lists, observations or vectors. For exploration geophysicists, these patterns are usually associated with seismic attributes, seismic waveforms or seismic facies. The main objective of this paper is to show how one of the most popular clustering algorithms - Kohonen self-organizing maps, can be applied to enhance seismic interpretation analysis associated with one and two-dimensional colormaps.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
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=S0102-261X2010000400008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-261X2010000400008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0102-261X2010000400008
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 Sociedade Brasileira de Geofísica
publisher.none.fl_str_mv Sociedade Brasileira de Geofísica
dc.source.none.fl_str_mv Revista Brasileira de Geofísica v.28 n.4 2010
reponame:Revista Brasileira de Geofísica (Online)
instname:Sociedade Brasileira de Geofísica (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Geofísica (SBG)
instacron_str SBG
institution SBG
reponame_str Revista Brasileira de Geofísica (Online)
collection Revista Brasileira de Geofísica (Online)
repository.name.fl_str_mv Revista Brasileira de Geofísica (Online) - Sociedade Brasileira de Geofísica (SBG)
repository.mail.fl_str_mv ||sbgf@sbgf.org.br
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