Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging

Detalhes bibliográficos
Autor(a) principal: Navarro,Juan
Data de Publicação: 2020
Outros Autores: Teramoto,Elias Hideo, Engelbrecht,Bruno Zanon, Kiang,Chang Hung
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Geology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-48892020000400301
Resumo: Abstract Basaltic aquifers are an important source of water supply in many regions worldwide. Because of their cooling process, flood basalts normally have complex internal structures and unpredictable permeable zone distribution. Geophysical profiling is a reliable tool used to identify the vertical variations of physical properties within the flood basalts, mainly to distinguish between low and high permeability intervals. In this study, a detailed analysis of drill cuttings, and geophysical logging of two depth wells helped to identify the typical response of main facies of flood basalts in the Serra Geral aquifer system. The evidence obtained from this work confirms that flood basalts may be classified as multilayer aquifer systems in which a highly permeable top covers a center with low permeability as a result of recurrent floods. In several cases, permeable layers are represented by a weathering horizon developed between two flood events. This study uses an empirical model to estimate the porosity based on acoustic velocity logging. A useful model based on a well-established Kozeny-Carman model was developed to predict the permeability of basaltic rocks using porosity data. The results obtained allow to identify the permeable intervals of basaltic aquifers and to estimate their hydraulic properties.
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spelling Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical loggingflood basaltsgeophysical loggingbasaltic aquifersSerra Geral AquiferAbstract Basaltic aquifers are an important source of water supply in many regions worldwide. Because of their cooling process, flood basalts normally have complex internal structures and unpredictable permeable zone distribution. Geophysical profiling is a reliable tool used to identify the vertical variations of physical properties within the flood basalts, mainly to distinguish between low and high permeability intervals. In this study, a detailed analysis of drill cuttings, and geophysical logging of two depth wells helped to identify the typical response of main facies of flood basalts in the Serra Geral aquifer system. The evidence obtained from this work confirms that flood basalts may be classified as multilayer aquifer systems in which a highly permeable top covers a center with low permeability as a result of recurrent floods. In several cases, permeable layers are represented by a weathering horizon developed between two flood events. This study uses an empirical model to estimate the porosity based on acoustic velocity logging. A useful model based on a well-established Kozeny-Carman model was developed to predict the permeability of basaltic rocks using porosity data. The results obtained allow to identify the permeable intervals of basaltic aquifers and to estimate their hydraulic properties.Sociedade Brasileira de Geologia2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-48892020000400301Brazilian Journal of Geology v.50 n.4 2020reponame:Brazilian Journal of Geologyinstname:Sociedade Brasileira de Geologia (SBGEO)instacron:SBGEO10.1590/2317-4889202020200013info:eu-repo/semantics/openAccessNavarro,JuanTeramoto,Elias HideoEngelbrecht,Bruno ZanonKiang,Chang Hungeng2020-09-04T00:00:00Zoai:scielo:S2317-48892020000400301Revistahttp://bjg.siteoficial.ws/index.htmhttps://old.scielo.br/oai/scielo-oai.phpsbgsede@sbgeo.org.br||claudio.riccomini@gmail.com2317-46922317-4692opendoar:2020-09-04T00:00Brazilian Journal of Geology - Sociedade Brasileira de Geologia (SBGEO)false
dc.title.none.fl_str_mv Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging
title Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging
spellingShingle Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging
Navarro,Juan
flood basalts
geophysical logging
basaltic aquifers
Serra Geral Aquifer
title_short Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging
title_full Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging
title_fullStr Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging
title_full_unstemmed Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging
title_sort Assessing hydrofacies and hydraulic properties of basaltic aquifers derived from geophysical logging
author Navarro,Juan
author_facet Navarro,Juan
Teramoto,Elias Hideo
Engelbrecht,Bruno Zanon
Kiang,Chang Hung
author_role author
author2 Teramoto,Elias Hideo
Engelbrecht,Bruno Zanon
Kiang,Chang Hung
author2_role author
author
author
dc.contributor.author.fl_str_mv Navarro,Juan
Teramoto,Elias Hideo
Engelbrecht,Bruno Zanon
Kiang,Chang Hung
dc.subject.por.fl_str_mv flood basalts
geophysical logging
basaltic aquifers
Serra Geral Aquifer
topic flood basalts
geophysical logging
basaltic aquifers
Serra Geral Aquifer
description Abstract Basaltic aquifers are an important source of water supply in many regions worldwide. Because of their cooling process, flood basalts normally have complex internal structures and unpredictable permeable zone distribution. Geophysical profiling is a reliable tool used to identify the vertical variations of physical properties within the flood basalts, mainly to distinguish between low and high permeability intervals. In this study, a detailed analysis of drill cuttings, and geophysical logging of two depth wells helped to identify the typical response of main facies of flood basalts in the Serra Geral aquifer system. The evidence obtained from this work confirms that flood basalts may be classified as multilayer aquifer systems in which a highly permeable top covers a center with low permeability as a result of recurrent floods. In several cases, permeable layers are represented by a weathering horizon developed between two flood events. This study uses an empirical model to estimate the porosity based on acoustic velocity logging. A useful model based on a well-established Kozeny-Carman model was developed to predict the permeability of basaltic rocks using porosity data. The results obtained allow to identify the permeable intervals of basaltic aquifers and to estimate their hydraulic properties.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S2317-48892020000400301
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-48892020000400301
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2317-4889202020200013
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 Geologia
publisher.none.fl_str_mv Sociedade Brasileira de Geologia
dc.source.none.fl_str_mv Brazilian Journal of Geology v.50 n.4 2020
reponame:Brazilian Journal of Geology
instname:Sociedade Brasileira de Geologia (SBGEO)
instacron:SBGEO
instname_str Sociedade Brasileira de Geologia (SBGEO)
instacron_str SBGEO
institution SBGEO
reponame_str Brazilian Journal of Geology
collection Brazilian Journal of Geology
repository.name.fl_str_mv Brazilian Journal of Geology - Sociedade Brasileira de Geologia (SBGEO)
repository.mail.fl_str_mv sbgsede@sbgeo.org.br||claudio.riccomini@gmail.com
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