Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Zuniga, Nelson Ricardo Coelho Flores
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
OBN
Link de acesso: https://www.teses.usp.br/teses/disponiveis/14/14132/tde-11052021-202215/
Resumo: To obtain a more accurate stratigraphic model, it is important to perform a reliable velocity analysis by fitting the calculated travel-time curve to the recorded one. The main challenge to perform this step in the offshore seismic survey is the fact there are many factors which present characteristics that generate nonhyperbolicity in travel-time events. For this reason, it is necessary to use an approximation which is able to control the effects of the nonhyperbolicity so that performing an efficient velocity analysis is possible. The main proposition of this thesis was to develop a generalization of a nonhyperbolic multiparametric travel-time approximation, which can control the nonhyperbolicity associated to heterogeneity of layered media and long offsets, wave conversion, and difference of datum between source and receiver. This work proposes a numerical study which aims to analyse the complexity of the objective function, the quality and efficiency of the travel-time curve fitting with different approximations, using different optimization algorithms and using the L1- and L2-norm. Three of the five models studied in this thesis were elaborated from well logs data of the Santos Basin and showed different characteristics making the proposed analysis more complex. The other two models were adapted to test some limits of the nonhyperbolic approximation (including the proposed one). Another important proposition was the development of an automated picking technique to obtain the reflection events related to the interface between the bottom of the salt and the top of the reservoir (target reflection). That technique was also part of a set of tests to obtain information of phase variation. It was possible to determine how complex each approximation is with the set of information obtained by the residual function maps analysis. The quality of the fitting and the efficiency of each approximation were also analysed. The optimization algorithm which showed the best results was determined. The difference between the use of L1-norm and L2-norm was also studied and it was determined which one is better to work for each kind of inverse problem. With all these analyses, it was possible to identify which approximation along with which optimization algorithm present the best results for each reflection event of each model after the inversion. The automated picking technique proved to be able to obtain the target reflection seismic events and information of phase variation.
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spelling Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN dataAproximação não-hiperbólica multiparamétrica de tempos de trânsito para onda convertida e dado OBNconverted wavemudança de fasemulticomponentmulticomponentenão-hiperbólicononhyperbolicOBNOBNonda convertidaphase shiftTo obtain a more accurate stratigraphic model, it is important to perform a reliable velocity analysis by fitting the calculated travel-time curve to the recorded one. The main challenge to perform this step in the offshore seismic survey is the fact there are many factors which present characteristics that generate nonhyperbolicity in travel-time events. For this reason, it is necessary to use an approximation which is able to control the effects of the nonhyperbolicity so that performing an efficient velocity analysis is possible. The main proposition of this thesis was to develop a generalization of a nonhyperbolic multiparametric travel-time approximation, which can control the nonhyperbolicity associated to heterogeneity of layered media and long offsets, wave conversion, and difference of datum between source and receiver. This work proposes a numerical study which aims to analyse the complexity of the objective function, the quality and efficiency of the travel-time curve fitting with different approximations, using different optimization algorithms and using the L1- and L2-norm. Three of the five models studied in this thesis were elaborated from well logs data of the Santos Basin and showed different characteristics making the proposed analysis more complex. The other two models were adapted to test some limits of the nonhyperbolic approximation (including the proposed one). Another important proposition was the development of an automated picking technique to obtain the reflection events related to the interface between the bottom of the salt and the top of the reservoir (target reflection). That technique was also part of a set of tests to obtain information of phase variation. It was possible to determine how complex each approximation is with the set of information obtained by the residual function maps analysis. The quality of the fitting and the efficiency of each approximation were also analysed. The optimization algorithm which showed the best results was determined. The difference between the use of L1-norm and L2-norm was also studied and it was determined which one is better to work for each kind of inverse problem. With all these analyses, it was possible to identify which approximation along with which optimization algorithm present the best results for each reflection event of each model after the inversion. The automated picking technique proved to be able to obtain the target reflection seismic events and information of phase variation.Para obter um modelo estratigráfico mais preciso, é importante realizar uma confiável análise de velocidades, ajustando a curva de tempos de trânsito calculada com a curva observada. O principal desafio para realizar esta etapa em um levantamento sísmico marítimo é o fato de haver diversos fatores que apresentam características que geram não-hiperbolicidade nos eventos de tempos de trânsito. Por esta razão, é necessário usar uma aproximação que seja capaz de controlar os efeitos da não-hiperbolicidade para que seja possível realizar uma eficiente análise de velocidades. A principal proposta dessa tese foi desenvolver uma generalização de uma aproximação não-hiperbólica multiparamétrica de tempos de trânsito, que possa controlar a não-hiperbolicidade associada à heterogeneidade em meios estratificados e longos afastamentos, conversão de onda e diferença de profundidade entre fonte e receptor. Um estudo numérico foi proposto visando analisar a complexidade das funções objetivo, a qualidade e eficiência do ajuste das curvas de tempos de trânsito com diferentes aproximações, utilizando diferentes algoritmos de otimização e utilizando normas L1 e L2. Três dos cinco modelos estudados nesta tese foram elaborados de perfis de poços da Bacia de Santos e mostraram diferentes características, fazendo a análise proposta mais complexa. Os outros dois modelos foram adaptados para testar alguns limites das aproximações não-hiperbólicas (incluindo a aqui proposta). Outra proposta importante foi o desenvolvimento de uma técnica de seleção automática para obter as reflexões relacionadas às interfaces entre a base do sal e o topo do reservatório (reflexão alvo). Esta técnica foi também parte de um conjunto de testes para obter informações de variação de fase. Foi possível determinar o quão complexa cada aproximação é com o conjunto de informações obtido pela análise de mapas residuais de função objetivo. A qualidade de ajuste e a eficiência de cada aproximação também foram analisadas. Foram determinados os algoritmos de otimização que mostraram os melhores resultados. Foi estudada a diferença entre as normas L1 e L2, e foi determinada a melhor para se trabalhar com cada tipo de problema inverso. Com todas essas análises, foi possível identificar qual aproximação junto de qual algoritmo de otimização apresenta os melhores resultados para cada evento de reflexão de cada modelo depois da inversão. A técnica de seleção automática provou ser apta para obter os eventos sísmicos de reflexão almejados e informações de variação de fase.Biblioteca Digitais de Teses e Dissertações da USPPriimenko, Viatcheslav IvanovichRibeiro, Fernando BrenhaZuniga, Nelson Ricardo Coelho Flores2021-03-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/14/14132/tde-11052021-202215/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2021-06-04T22:09:04Zoai:teses.usp.br:tde-11052021-202215Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212021-06-04T22:09:04Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data
Aproximação não-hiperbólica multiparamétrica de tempos de trânsito para onda convertida e dado OBN
title Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data
spellingShingle Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data
Zuniga, Nelson Ricardo Coelho Flores
converted wave
mudança de fase
multicomponent
multicomponente
não-hiperbólico
nonhyperbolic
OBN
OBN
onda convertida
phase shift
title_short Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data
title_full Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data
title_fullStr Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data
title_full_unstemmed Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data
title_sort Nonhyperbolic multiparametric travel-time approximation for converted-wave and OBN data
author Zuniga, Nelson Ricardo Coelho Flores
author_facet Zuniga, Nelson Ricardo Coelho Flores
author_role author
dc.contributor.none.fl_str_mv Priimenko, Viatcheslav Ivanovich
Ribeiro, Fernando Brenha
dc.contributor.author.fl_str_mv Zuniga, Nelson Ricardo Coelho Flores
dc.subject.por.fl_str_mv converted wave
mudança de fase
multicomponent
multicomponente
não-hiperbólico
nonhyperbolic
OBN
OBN
onda convertida
phase shift
topic converted wave
mudança de fase
multicomponent
multicomponente
não-hiperbólico
nonhyperbolic
OBN
OBN
onda convertida
phase shift
description To obtain a more accurate stratigraphic model, it is important to perform a reliable velocity analysis by fitting the calculated travel-time curve to the recorded one. The main challenge to perform this step in the offshore seismic survey is the fact there are many factors which present characteristics that generate nonhyperbolicity in travel-time events. For this reason, it is necessary to use an approximation which is able to control the effects of the nonhyperbolicity so that performing an efficient velocity analysis is possible. The main proposition of this thesis was to develop a generalization of a nonhyperbolic multiparametric travel-time approximation, which can control the nonhyperbolicity associated to heterogeneity of layered media and long offsets, wave conversion, and difference of datum between source and receiver. This work proposes a numerical study which aims to analyse the complexity of the objective function, the quality and efficiency of the travel-time curve fitting with different approximations, using different optimization algorithms and using the L1- and L2-norm. Three of the five models studied in this thesis were elaborated from well logs data of the Santos Basin and showed different characteristics making the proposed analysis more complex. The other two models were adapted to test some limits of the nonhyperbolic approximation (including the proposed one). Another important proposition was the development of an automated picking technique to obtain the reflection events related to the interface between the bottom of the salt and the top of the reservoir (target reflection). That technique was also part of a set of tests to obtain information of phase variation. It was possible to determine how complex each approximation is with the set of information obtained by the residual function maps analysis. The quality of the fitting and the efficiency of each approximation were also analysed. The optimization algorithm which showed the best results was determined. The difference between the use of L1-norm and L2-norm was also studied and it was determined which one is better to work for each kind of inverse problem. With all these analyses, it was possible to identify which approximation along with which optimization algorithm present the best results for each reflection event of each model after the inversion. The automated picking technique proved to be able to obtain the target reflection seismic events and information of phase variation.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-25
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
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dc.language.iso.fl_str_mv eng
language eng
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dc.rights.driver.fl_str_mv Liberar o conteúdo para acesso público.
info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
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reponame:Biblioteca Digital de Teses e Dissertações da USP
instname:Universidade de São Paulo (USP)
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reponame_str Biblioteca Digital de Teses e Dissertações da USP
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repository.mail.fl_str_mv virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br
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