Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil

Detalhes bibliográficos
Autor(a) principal: Espirito Santo, Lucas dos Anjos Correa do
Data de Publicação: 2023
Outros Autores: Salomão, Marcelo dos Santos, Pedroso, Enrico Campos, Appi, Ciro Jorge
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/48346
Resumo: Hydrocarbon seepage phenomena can be found in most petroleum provinces located in both coastal and ocean regions. The present work aims to identify, map and quantify oil seep candidates in the maritime portion of the Espírito Santo Sedimentary Basin using Synthetic Aperture Radar imagery from Radarsat-2 and Sentinel-1. The selection of the SAR images was made based on their basin coverage area. Meteorological and oceanographic data, when available, were used to assist interpretation. Later, the presence of structures that may enable fluids to escape (faults, fractures, salt domes, etc.) was verified in 101 seismic lines. After detailed analysis, the obtained data were gathered, aiming to classify the oil seep candidates found according to their probability of happening. There were 3 parameters, subdivided into criteria, used in the ranking score: SAR (distance of vessels, number nearby possible seeps and feature size), Geological (morphotectonic domains) and Seismic (distance from seismic lines, presence of structures and distance from structure). Each criterion received grades ranging from 0.1 to 1.0. The final score is given by the arithmetic mean of the parameters. This allowed the seep candidates to be organized in a ranking. The methodology was successful in identifying 54 promising features in the Espírito Santo basin and northern Campos basin. Half of the seep candidates found, 27 features, obtained a grade higher than 0.7, which strengthens the idea of being oil seeps. As an outcome a map was made in 1:3,500,000 scale with the location of all oil seep candidates mapped in this petroleum province.
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spelling Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern BrazilImage processingSARSeismicHydrocarbon seepage phenomena can be found in most petroleum provinces located in both coastal and ocean regions. The present work aims to identify, map and quantify oil seep candidates in the maritime portion of the Espírito Santo Sedimentary Basin using Synthetic Aperture Radar imagery from Radarsat-2 and Sentinel-1. The selection of the SAR images was made based on their basin coverage area. Meteorological and oceanographic data, when available, were used to assist interpretation. Later, the presence of structures that may enable fluids to escape (faults, fractures, salt domes, etc.) was verified in 101 seismic lines. After detailed analysis, the obtained data were gathered, aiming to classify the oil seep candidates found according to their probability of happening. There were 3 parameters, subdivided into criteria, used in the ranking score: SAR (distance of vessels, number nearby possible seeps and feature size), Geological (morphotectonic domains) and Seismic (distance from seismic lines, presence of structures and distance from structure). Each criterion received grades ranging from 0.1 to 1.0. The final score is given by the arithmetic mean of the parameters. This allowed the seep candidates to be organized in a ranking. The methodology was successful in identifying 54 promising features in the Espírito Santo basin and northern Campos basin. Half of the seep candidates found, 27 features, obtained a grade higher than 0.7, which strengthens the idea of being oil seeps. As an outcome a map was made in 1:3,500,000 scale with the location of all oil seep candidates mapped in this petroleum province.Universidade Federal do Rio de Janeiro2023-04-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/4834610.11137/1982-3908_2023_46_48346Anuário do Instituto de Geociências; v. 46 (2023)Anuário do Instituto de Geociências; Vol. 46 (2023)1982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/48346/pdfCopyright (c) 2023 Anuário do Instituto de Geociênciasinfo:eu-repo/semantics/openAccessEspirito Santo, Lucas dos Anjos Correa doSalomão, Marcelo dos SantosPedroso, Enrico CamposAppi, Ciro Jorge2023-04-03T13:10:29Zoai:ojs.pkp.sfu.ca:article/48346Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2023-04-03T13:10:29Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil
title Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil
spellingShingle Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil
Espirito Santo, Lucas dos Anjos Correa do
Image processing
SAR
Seismic
title_short Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil
title_full Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil
title_fullStr Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil
title_full_unstemmed Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil
title_sort Oil Seep Detection Using Microwave Remote Sensing at Espírito Santo Basin, Eastern Brazil
author Espirito Santo, Lucas dos Anjos Correa do
author_facet Espirito Santo, Lucas dos Anjos Correa do
Salomão, Marcelo dos Santos
Pedroso, Enrico Campos
Appi, Ciro Jorge
author_role author
author2 Salomão, Marcelo dos Santos
Pedroso, Enrico Campos
Appi, Ciro Jorge
author2_role author
author
author
dc.contributor.author.fl_str_mv Espirito Santo, Lucas dos Anjos Correa do
Salomão, Marcelo dos Santos
Pedroso, Enrico Campos
Appi, Ciro Jorge
dc.subject.por.fl_str_mv Image processing
SAR
Seismic
topic Image processing
SAR
Seismic
description Hydrocarbon seepage phenomena can be found in most petroleum provinces located in both coastal and ocean regions. The present work aims to identify, map and quantify oil seep candidates in the maritime portion of the Espírito Santo Sedimentary Basin using Synthetic Aperture Radar imagery from Radarsat-2 and Sentinel-1. The selection of the SAR images was made based on their basin coverage area. Meteorological and oceanographic data, when available, were used to assist interpretation. Later, the presence of structures that may enable fluids to escape (faults, fractures, salt domes, etc.) was verified in 101 seismic lines. After detailed analysis, the obtained data were gathered, aiming to classify the oil seep candidates found according to their probability of happening. There were 3 parameters, subdivided into criteria, used in the ranking score: SAR (distance of vessels, number nearby possible seeps and feature size), Geological (morphotectonic domains) and Seismic (distance from seismic lines, presence of structures and distance from structure). Each criterion received grades ranging from 0.1 to 1.0. The final score is given by the arithmetic mean of the parameters. This allowed the seep candidates to be organized in a ranking. The methodology was successful in identifying 54 promising features in the Espírito Santo basin and northern Campos basin. Half of the seep candidates found, 27 features, obtained a grade higher than 0.7, which strengthens the idea of being oil seeps. As an outcome a map was made in 1:3,500,000 scale with the location of all oil seep candidates mapped in this petroleum province.
publishDate 2023
dc.date.none.fl_str_mv 2023-04-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/48346
10.11137/1982-3908_2023_46_48346
url https://revistas.ufrj.br/index.php/aigeo/article/view/48346
identifier_str_mv 10.11137/1982-3908_2023_46_48346
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/48346/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2023 Anuário do Instituto de Geociências
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Anuário do Instituto de Geociências
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; v. 46 (2023)
Anuário do Instituto de Geociências; Vol. 46 (2023)
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv anuario@igeo.ufrj.br||
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