Thin-layer detection using spectral inversion and a genetic algorithm

Spectral inversion using a genetic algorithm (GA) as an optimisation approach was used for increasing the seismic resolution of a particular dataset; by contrast with the conjugate gradient method, a GA does not require a good starting model but rather a search space. The method discriminated layers...

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Autores:
Castaño, Kelyn Paola
Ojeda, Germán
Montes, Luis
Tipo de recurso:
Article of journal
Fecha de publicación:
2011
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/39240
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/39240
http://bdigital.unal.edu.co/29337/
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Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Castaño, Kelyn Paola0a76dff2-6fd8-407f-980b-3190873e5355300Ojeda, Germán607d2526-e2a3-4899-96cb-35325ad79f9f300Montes, Luisaf99c8c7-790e-434d-a24a-11404eb7eb563002019-06-28T03:34:18Z2019-06-28T03:34:18Z2011https://repositorio.unal.edu.co/handle/unal/39240http://bdigital.unal.edu.co/29337/Spectral inversion using a genetic algorithm (GA) as an optimisation approach was used for increasing the seismic resolution of a particular dataset; by contrast with the conjugate gradient method, a GA does not require a good starting model but rather a search space. The method discriminated layers thinner than λ/8 when tested on synthetic and log data. When applied to a seismic dataset concerning the Barco formation in the Catatumbo basin, Colombia, spectral inversion led to recovering information from seismic data contributing towards the vertical identification of geological features such as thin distributary channels deposited in a deltaic environment having a tidal influence. The results revealed that a GA outperformed traditional minimisation schemes.application/pdfspaUNIVERSIDAD NACIONAL DE COLOMBIAhttp://revistas.unal.edu.co/index.php/esrj/article/view/27440Universidad Nacional de Colombia Revistas electrónicas UN Earth Sciences Research JournalEarth Sciences Research JournalEarth Sciences Research Journal; Vol. 15, núm. 2 (2011); 121-128 Earth Sciences Research Journal; Vol. 15, núm. 2 (2011); 121-128 2339-3459 1794-6190Castaño, Kelyn Paola and Ojeda, Germán and Montes, Luis (2011) Thin-layer detection using spectral inversion and a genetic algorithm. Earth Sciences Research Journal; Vol. 15, núm. 2 (2011); 121-128 Earth Sciences Research Journal; Vol. 15, núm. 2 (2011); 121-128 2339-3459 1794-6190 .Thin-layer detection using spectral inversion and a genetic algorithmArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL27440-96409-1-PB.pdfapplication/pdf4734121https://repositorio.unal.edu.co/bitstream/unal/39240/1/27440-96409-1-PB.pdf2c99680a789fb0521ccac4a73be8f8edMD51THUMBNAIL27440-96409-1-PB.pdf.jpg27440-96409-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg8033https://repositorio.unal.edu.co/bitstream/unal/39240/2/27440-96409-1-PB.pdf.jpgb3180c24ebeace5c8bc4003628b92b57MD52unal/39240oai:repositorio.unal.edu.co:unal/392402023-01-22 23:04:45.57Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Thin-layer detection using spectral inversion and a genetic algorithm
title Thin-layer detection using spectral inversion and a genetic algorithm
spellingShingle Thin-layer detection using spectral inversion and a genetic algorithm
title_short Thin-layer detection using spectral inversion and a genetic algorithm
title_full Thin-layer detection using spectral inversion and a genetic algorithm
title_fullStr Thin-layer detection using spectral inversion and a genetic algorithm
title_full_unstemmed Thin-layer detection using spectral inversion and a genetic algorithm
title_sort Thin-layer detection using spectral inversion and a genetic algorithm
dc.creator.fl_str_mv Castaño, Kelyn Paola
Ojeda, Germán
Montes, Luis
dc.contributor.author.spa.fl_str_mv Castaño, Kelyn Paola
Ojeda, Germán
Montes, Luis
description Spectral inversion using a genetic algorithm (GA) as an optimisation approach was used for increasing the seismic resolution of a particular dataset; by contrast with the conjugate gradient method, a GA does not require a good starting model but rather a search space. The method discriminated layers thinner than λ/8 when tested on synthetic and log data. When applied to a seismic dataset concerning the Barco formation in the Catatumbo basin, Colombia, spectral inversion led to recovering information from seismic data contributing towards the vertical identification of geological features such as thin distributary channels deposited in a deltaic environment having a tidal influence. The results revealed that a GA outperformed traditional minimisation schemes.
publishDate 2011
dc.date.issued.spa.fl_str_mv 2011
dc.date.accessioned.spa.fl_str_mv 2019-06-28T03:34:18Z
dc.date.available.spa.fl_str_mv 2019-06-28T03:34:18Z
dc.type.spa.fl_str_mv Artículo de revista
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url https://repositorio.unal.edu.co/handle/unal/39240
http://bdigital.unal.edu.co/29337/
dc.language.iso.spa.fl_str_mv spa
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dc.relation.spa.fl_str_mv http://revistas.unal.edu.co/index.php/esrj/article/view/27440
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Earth Sciences Research Journal
Earth Sciences Research Journal
dc.relation.ispartofseries.none.fl_str_mv Earth Sciences Research Journal; Vol. 15, núm. 2 (2011); 121-128 Earth Sciences Research Journal; Vol. 15, núm. 2 (2011); 121-128 2339-3459 1794-6190
dc.relation.references.spa.fl_str_mv Castaño, Kelyn Paola and Ojeda, Germán and Montes, Luis (2011) Thin-layer detection using spectral inversion and a genetic algorithm. Earth Sciences Research Journal; Vol. 15, núm. 2 (2011); 121-128 Earth Sciences Research Journal; Vol. 15, núm. 2 (2011); 121-128 2339-3459 1794-6190 .
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
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dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
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Derechos reservados - Universidad Nacional de Colombia
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eu_rights_str_mv openAccess
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dc.publisher.spa.fl_str_mv UNIVERSIDAD NACIONAL DE COLOMBIA
institution Universidad Nacional de Colombia
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