Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography

ABSTRACT: RTM is an imaging technique that although was introduced in the year 1983 (E. Baysal and Sherwood, 1983) has only been extensively used in the last few years because the computational resources needed to implement it were only available recently. Despite its high computational cost, RTM is...

Full description

Autores:
Arias Chica, Cesar Augusto
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2018
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/11148
Acceso en línea:
http://hdl.handle.net/10495/11148
Palabra clave:
Mathematical analysis
Análisis matemático
Reverse time migration
Riemannian Manifolds
http://aims.fao.org/aos/agrovoc/c_36339bf3
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia (CC BY-NC-ND 2.5 CO)
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network_name_str Repositorio UdeA
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dc.title.spa.fl_str_mv Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography
title Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography
spellingShingle Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography
Mathematical analysis
Análisis matemático
Reverse time migration
Riemannian Manifolds
http://aims.fao.org/aos/agrovoc/c_36339bf3
title_short Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography
title_full Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography
title_fullStr Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography
title_full_unstemmed Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography
title_sort Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topography
dc.creator.fl_str_mv Arias Chica, Cesar Augusto
dc.contributor.advisor.none.fl_str_mv Duque, Luis
dc.contributor.author.none.fl_str_mv Arias Chica, Cesar Augusto
dc.subject.agrovoc.none.fl_str_mv Mathematical analysis
Análisis matemático
topic Mathematical analysis
Análisis matemático
Reverse time migration
Riemannian Manifolds
http://aims.fao.org/aos/agrovoc/c_36339bf3
dc.subject.proposal.spa.fl_str_mv Reverse time migration
Riemannian Manifolds
dc.subject.agrovocuri.none.fl_str_mv http://aims.fao.org/aos/agrovoc/c_36339bf3
description ABSTRACT: RTM is an imaging technique that although was introduced in the year 1983 (E. Baysal and Sherwood, 1983) has only been extensively used in the last few years because the computational resources needed to implement it were only available recently. Despite its high computational cost, RTM is nowaday’s choice among a wide set of options to produce seismic images because it can be used in zones with strong variations of the velocity of propagation, it can map sub-surface structures with any dipping angle and can create good images of zones of interest like those under and around salt domes where hydrocarbon reservoirs can be found. The classical RTM algorithm produces images of the earth’s sub-surface by means of controlled seismic waves. These waves are generated mechanically using seismic sources such as vibroseis (a truck-mounted vibrator) or controlled explosions among others. Figure 1 (SaharaWealth Advisors, 2015) shows a typical field setup used to get the seismic data, required as the starting point for the RTM method.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-05-24T20:17:33Z
dc.date.available.none.fl_str_mv 2019-05-24T20:17:33Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/doctoralThesis
dc.type.hasversion.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/TD
dc.type.local.spa.fl_str_mv Tesis/Trabajo de grado - Monografía - Doctorado
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dc.identifier.citation.spa.fl_str_mv Arias, C. Reverse time migration and full waveform inversion in riemannian manifolds: application to rugged topography [Tesis doctoral]. Universidad de Antioquia, Medellín, Colombia. 2018.
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/11148
identifier_str_mv Arias, C. Reverse time migration and full waveform inversion in riemannian manifolds: application to rugged topography [Tesis doctoral]. Universidad de Antioquia, Medellín, Colombia. 2018.
url http://hdl.handle.net/10495/11148
dc.language.iso.spa.fl_str_mv eng
language eng
dc.rights.*.fl_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia (CC BY-NC-ND 2.5 CO)
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia (CC BY-NC-ND 2.5 CO)
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eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 59
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Medellín, Colombia
institution Universidad de Antioquia
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spelling Duque, LuisArias Chica, Cesar Augusto2019-05-24T20:17:33Z2019-05-24T20:17:33Z2018Arias, C. Reverse time migration and full waveform inversion in riemannian manifolds: application to rugged topography [Tesis doctoral]. Universidad de Antioquia, Medellín, Colombia. 2018.http://hdl.handle.net/10495/11148ABSTRACT: RTM is an imaging technique that although was introduced in the year 1983 (E. Baysal and Sherwood, 1983) has only been extensively used in the last few years because the computational resources needed to implement it were only available recently. Despite its high computational cost, RTM is nowaday’s choice among a wide set of options to produce seismic images because it can be used in zones with strong variations of the velocity of propagation, it can map sub-surface structures with any dipping angle and can create good images of zones of interest like those under and around salt domes where hydrocarbon reservoirs can be found. The classical RTM algorithm produces images of the earth’s sub-surface by means of controlled seismic waves. These waves are generated mechanically using seismic sources such as vibroseis (a truck-mounted vibrator) or controlled explosions among others. Figure 1 (SaharaWealth Advisors, 2015) shows a typical field setup used to get the seismic data, required as the starting point for the RTM method.59application/pdfenginfo:eu-repo/semantics/acceptedVersioninfo:eu-repo/semantics/doctoralThesishttp://purl.org/coar/resource_type/c_db06https://purl.org/redcol/resource_type/TDTesis/Trabajo de grado - Monografía - DoctoradoAtribución-NoComercial-SinDerivadas 2.5 Colombia (CC BY-NC-ND 2.5 CO)info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-nd/4.0/Reverse time migration and full waveform inversion in riemannian manifolds : application to rugged topographyMedellín, ColombiaMathematical analysisAnálisis matemáticoReverse time migrationRiemannian Manifoldshttp://aims.fao.org/aos/agrovoc/c_36339bf3Doctor en FísicaDoctoradoFacultad de Ciencias Exactas y Naturales. Doctorado en FísicaUniversidad de AntioquiaORIGINALAriasCesar_2018_MigrationInversionManifolds.pdfAriasCesar_2018_MigrationInversionManifolds.pdfTesis doctoralapplication/pdf5036043http://bibliotecadigital.udea.edu.co/bitstream/10495/11148/1/AriasCesar_2018_MigrationInversionManifolds.pdf3456a77f94f7288ed407f1869923dae3MD51CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://bibliotecadigital.udea.edu.co/bitstream/10495/11148/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_texttext/html; charset=utf-80http://bibliotecadigital.udea.edu.co/bitstream/10495/11148/3/license_textd41d8cd98f00b204e9800998ecf8427eMD53license_rdflicense_rdfLicenciaapplication/rdf+xml; charset=utf-80http://bibliotecadigital.udea.edu.co/bitstream/10495/11148/4/license_rdfd41d8cd98f00b204e9800998ecf8427eMD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://bibliotecadigital.udea.edu.co/bitstream/10495/11148/5/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5510495/11148oai:bibliotecadigital.udea.edu.co:10495/111482020-11-03 13:05:10.104Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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