Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/150841 |
Resumo: | Data quality control programs used in the mineral industry normally define tolerance limits based on values considered as good practice or those that have previously been applied to similar deposits, although the precision and accuracy of estimates depend on a combination of geological characteristics, estimation parameters, sample spacing and data quality. This study investigates how the sample quality limits affect the estimates results. The proposed methodology is based on a series of metrics used to compare the impact on the estimates using a synthetic database with an increasing amount of error added to the original sample grades or positions, emulating different levels of precision. The proposed approach results lead to tolerance limits for the grades similar to those recommended in literature. The influence of the positional uncertainty on model estimates is at a minimum, because of the accuracy of current surveying methods that have a deviation in the order of millimeters, so its impact can be considered negligible. |
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Silva, Victor MiguelCosta, Joao Felipe Coimbra Leite2017-01-14T02:24:25Z20162448-167Xhttp://hdl.handle.net/10183/150841001010279Data quality control programs used in the mineral industry normally define tolerance limits based on values considered as good practice or those that have previously been applied to similar deposits, although the precision and accuracy of estimates depend on a combination of geological characteristics, estimation parameters, sample spacing and data quality. This study investigates how the sample quality limits affect the estimates results. The proposed methodology is based on a series of metrics used to compare the impact on the estimates using a synthetic database with an increasing amount of error added to the original sample grades or positions, emulating different levels of precision. The proposed approach results lead to tolerance limits for the grades similar to those recommended in literature. The influence of the positional uncertainty on model estimates is at a minimum, because of the accuracy of current surveying methods that have a deviation in the order of millimeters, so its impact can be considered negligible.application/pdfengREM : international engineering journal. Ouro Preto, MG. Vol. 69, no. 4 (Oct./Dec. 2016), p. 491-496GeoestatísticaAmostragemIncertezaGeostatisticsData uncertaintySensitivity analysisSampling errorQA/QCSensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality controlinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL001010279.pdf001010279.pdfTexto completo (inglês)application/pdf965780http://www.lume.ufrgs.br/bitstream/10183/150841/1/001010279.pdf2f6bd555028b12777d9e8f5ff461ee11MD51TEXT001010279.pdf.txt001010279.pdf.txtExtracted Texttext/plain19371http://www.lume.ufrgs.br/bitstream/10183/150841/2/001010279.pdf.txtb641089054adeba000317ab01a4dbd9cMD52THUMBNAIL001010279.pdf.jpg001010279.pdf.jpgGenerated Thumbnailimage/jpeg2096http://www.lume.ufrgs.br/bitstream/10183/150841/3/001010279.pdf.jpga2074106070962d00c4127d3f4bdae3eMD5310183/1508412018-11-18 02:41:41.64819oai:www.lume.ufrgs.br:10183/150841Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2018-11-18T04:41:41Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control |
title |
Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control |
spellingShingle |
Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control Silva, Victor Miguel Geoestatística Amostragem Incerteza Geostatistics Data uncertainty Sensitivity analysis Sampling error QA/QC |
title_short |
Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control |
title_full |
Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control |
title_fullStr |
Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control |
title_full_unstemmed |
Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control |
title_sort |
Sensitivity analysis of ordinary kriging to sampling and positional errors and applications in quality control |
author |
Silva, Victor Miguel |
author_facet |
Silva, Victor Miguel Costa, Joao Felipe Coimbra Leite |
author_role |
author |
author2 |
Costa, Joao Felipe Coimbra Leite |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silva, Victor Miguel Costa, Joao Felipe Coimbra Leite |
dc.subject.por.fl_str_mv |
Geoestatística Amostragem Incerteza |
topic |
Geoestatística Amostragem Incerteza Geostatistics Data uncertainty Sensitivity analysis Sampling error QA/QC |
dc.subject.eng.fl_str_mv |
Geostatistics Data uncertainty Sensitivity analysis Sampling error QA/QC |
description |
Data quality control programs used in the mineral industry normally define tolerance limits based on values considered as good practice or those that have previously been applied to similar deposits, although the precision and accuracy of estimates depend on a combination of geological characteristics, estimation parameters, sample spacing and data quality. This study investigates how the sample quality limits affect the estimates results. The proposed methodology is based on a series of metrics used to compare the impact on the estimates using a synthetic database with an increasing amount of error added to the original sample grades or positions, emulating different levels of precision. The proposed approach results lead to tolerance limits for the grades similar to those recommended in literature. The influence of the positional uncertainty on model estimates is at a minimum, because of the accuracy of current surveying methods that have a deviation in the order of millimeters, so its impact can be considered negligible. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016 |
dc.date.accessioned.fl_str_mv |
2017-01-14T02:24:25Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
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/10183/150841 |
dc.identifier.issn.pt_BR.fl_str_mv |
2448-167X |
dc.identifier.nrb.pt_BR.fl_str_mv |
001010279 |
identifier_str_mv |
2448-167X 001010279 |
url |
http://hdl.handle.net/10183/150841 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
REM : international engineering journal. Ouro Preto, MG. Vol. 69, no. 4 (Oct./Dec. 2016), p. 491-496 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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