Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable

Two-point geostatistical modeling requires the variogram model of the variable of interest. However, this variogram is difficult to obtain when the variable of interest has few data sparsely spaced. This situation occurs often in the early process of mineral exploration, when the data spacing is wid...

Descripción completa

Detalles Bibliográficos
Autores: Oliveira, Carlos Alexandre Santana, Bassani, Marcel Antônio Arcari, Costa, Joao Felipe Coimbra Leite
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:Brasil
Institución:Universidade Federal do Rio Grande do Sul (UFRGS)
Repositorio:Repositório Institucional da UFRGS
Idioma:inglés
OAI Identifier:oai:www.lume.ufrgs.br:10183/221293
Acceso en línea:http://hdl.handle.net/10183/221293
Access Level:acceso abierto
Palabra clave:Análise de covariância
Simulação geoestatística
Covariance table
Collocated cokriging
Sequential Gaussian simulation
id BR_7efb2091506bc5c0eafb56bdaeebd2f8
oai_identifier_str oai:www.lume.ufrgs.br:10183/221293
network_acronym_str BR
network_name_str Brasil
repository_id_str
spelling 2021-05-19T04:34:09Z20210920-4105http://hdl.handle.net/10183/221293001125776Two-point geostatistical modeling requires the variogram model of the variable of interest. However, this variogram is difficult to obtain when the variable of interest has few data sparsely spaced. This situation occurs often in the early process of mineral exploration, when the data spacing is wide. If a more densely sampled secondary variable, preferably correlated with the primary variable, is available, this variable may help to infer the variogram model of the primary one. Exhaustive secondary variables are common in the petroleum industry. These secondary variables are obtained by seismic survey. In this study, a methodology is presented for geostatistical estimation/simulation of primary variables that present few samples with the aid of an exhaustive secondary variable. The spatial continuity of the primary variable will be described using the covariance table of the exhaustive secondary variable. This methodology is used when the amount of data for the primary variable is insufficient to obtain a stable experimental variogram. The use of the covariance table of the exhaustive secondary variable replaces the calculation and adjustment of the variogram of the primary variable, a fact that motivated the development of the methodology. The results of the presented case study revealed that the estimates/simulations of the primary variable using the covariance table of the adjusted exhaustive secondary variable produced satisfactory results.application/pdfengJournal of petroleum science and engineering [recurso eletrônico]. Amsterdam. Vol. 196 (Jan. 2021), Art. 108073, 11 p.Análise de covariânciaSimulação geoestatísticaCovariance tableCollocated cokrigingSequential Gaussian simulationApplication of covariance table for geostatistical modeling in the presence of an exhaustive secondary variableEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSOliveira, Carlos Alexandre SantanaBassani, Marcel Antônio ArcariCosta, Joao Felipe Coimbra LeiteTEXT001125776.pdf.txt001125776.pdf.txtExtracted Texttext/plain46967http://www.lume.ufrgs.br/bitstream/10183/221293/2/001125776.pdf.txtb88c4dd3129b10eb06e352866b288322MD52ORIGINAL001125776.pdfTexto completo (inglês)application/pdf9385179http://www.lume.ufrgs.br/bitstream/10183/221293/1/001125776.pdf3290c1e47e25c82069e9d2c41d9d2bd9MD5110183/2212932021-05-26 04:44:50.182402oai:www.lume.ufrgs.br:10183/221293Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2021-05-26T07:44:50Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable
title Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable
spellingShingle Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable
Oliveira, Carlos Alexandre Santana
Análise de covariância
Simulação geoestatística
Covariance table
Collocated cokriging
Sequential Gaussian simulation
title_short Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable
title_full Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable
title_fullStr Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable
title_full_unstemmed Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable
title_sort Application of covariance table for geostatistical modeling in the presence of an exhaustive secondary variable
dc.creator.none.fl_str_mv Oliveira, Carlos Alexandre Santana
Bassani, Marcel Antônio Arcari
Costa, Joao Felipe Coimbra Leite
author Oliveira, Carlos Alexandre Santana
author_facet Oliveira, Carlos Alexandre Santana
Bassani, Marcel Antônio Arcari
Costa, Joao Felipe Coimbra Leite
author_role author
author2 Bassani, Marcel Antônio Arcari
Costa, Joao Felipe Coimbra Leite
author2_role author
author
dc.subject.por.fl_str_mv Análise de covariância
Simulação geoestatística
topic Análise de covariância
Simulação geoestatística
Covariance table
Collocated cokriging
Sequential Gaussian simulation
dc.subject.eng.fl_str_mv Covariance table
Collocated cokriging
Sequential Gaussian simulation
description Two-point geostatistical modeling requires the variogram model of the variable of interest. However, this variogram is difficult to obtain when the variable of interest has few data sparsely spaced. This situation occurs often in the early process of mineral exploration, when the data spacing is wide. If a more densely sampled secondary variable, preferably correlated with the primary variable, is available, this variable may help to infer the variogram model of the primary one. Exhaustive secondary variables are common in the petroleum industry. These secondary variables are obtained by seismic survey. In this study, a methodology is presented for geostatistical estimation/simulation of primary variables that present few samples with the aid of an exhaustive secondary variable. The spatial continuity of the primary variable will be described using the covariance table of the exhaustive secondary variable. This methodology is used when the amount of data for the primary variable is insufficient to obtain a stable experimental variogram. The use of the covariance table of the exhaustive secondary variable replaces the calculation and adjustment of the variogram of the primary variable, a fact that motivated the development of the methodology. The results of the presented case study revealed that the estimates/simulations of the primary variable using the covariance table of the adjusted exhaustive secondary variable produced satisfactory results.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-05-19T04:34:09Z
dc.date.issued.fl_str_mv 2021
dc.type.driver.fl_str_mv Estrangeiro
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://hdl.handle.net/10183/221293
dc.identifier.issn.pt_BR.fl_str_mv 0920-4105
dc.identifier.nrb.pt_BR.fl_str_mv 001125776
identifier_str_mv 0920-4105
001125776
url http://hdl.handle.net/10183/221293
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Journal of petroleum science and engineering [recurso eletrônico]. Amsterdam. Vol. 196 (Jan. 2021), Art. 108073, 11 p.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/221293/2/001125776.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/221293/1/001125776.pdf
bitstream.checksum.fl_str_mv b88c4dd3129b10eb06e352866b288322
3290c1e47e25c82069e9d2c41d9d2bd9
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv lume@ufrgs.br
_version_ 1853675866845872128
score 15.301629

Similares en LA Referencia