Methodology for selection of samples from borehole probe for technological characterization of iron ore

Detalhes bibliográficos
Autor(a) principal: Santos,Gésner J. I. dos
Data de Publicação: 2014
Outros Autores: Ribeiro,Diniz T., Pereira,Carlos Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: REM. Revista Escola de Minas (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000300005
Resumo: The risks in the evaluation of mining projects are directly related to the probability of errors in the estimates, and, as the estimates are based on sampling results, this activity must be performed in a careful and planned way, to prevent surprises at the beginning of operation. To validate the representativeness of the borehole samples selected for the mineral processing studies, the geological resources evaluation team proposed a methodology based on the utilization of statistical analyses that, beyond considering the spatial distribution of the samples in the deposit, also assessed if they are representative of the populations under investigation. With this data, the geologist is able to make a fast analysis of the sampling's representativeness.
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spelling Methodology for selection of samples from borehole probe for technological characterization of iron oresamplingrepresentativenessiron oreThe risks in the evaluation of mining projects are directly related to the probability of errors in the estimates, and, as the estimates are based on sampling results, this activity must be performed in a careful and planned way, to prevent surprises at the beginning of operation. To validate the representativeness of the borehole samples selected for the mineral processing studies, the geological resources evaluation team proposed a methodology based on the utilization of statistical analyses that, beyond considering the spatial distribution of the samples in the deposit, also assessed if they are representative of the populations under investigation. With this data, the geologist is able to make a fast analysis of the sampling's representativeness.Escola de Minas2014-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000300005Rem: Revista Escola de Minas v.67 n.3 2014reponame:REM. Revista Escola de Minas (Online)instname:Escola de Minasinstacron:ESCOLA DE MINAS10.1590/S0370-44672014000300005info:eu-repo/semantics/openAccessSantos,Gésner J. I. dosRibeiro,Diniz T.Pereira,Carlos Albertoeng2014-09-30T00:00:00Zoai:scielo:S0370-44672014000300005Revistahttp://www.scielo.br/remhttps://old.scielo.br/oai/scielo-oai.phpeditor@rem.com.br1807-03530370-4467opendoar:2014-09-30T00:00REM. Revista Escola de Minas (Online) - Escola de Minasfalse
dc.title.none.fl_str_mv Methodology for selection of samples from borehole probe for technological characterization of iron ore
title Methodology for selection of samples from borehole probe for technological characterization of iron ore
spellingShingle Methodology for selection of samples from borehole probe for technological characterization of iron ore
Santos,Gésner J. I. dos
sampling
representativeness
iron ore
title_short Methodology for selection of samples from borehole probe for technological characterization of iron ore
title_full Methodology for selection of samples from borehole probe for technological characterization of iron ore
title_fullStr Methodology for selection of samples from borehole probe for technological characterization of iron ore
title_full_unstemmed Methodology for selection of samples from borehole probe for technological characterization of iron ore
title_sort Methodology for selection of samples from borehole probe for technological characterization of iron ore
author Santos,Gésner J. I. dos
author_facet Santos,Gésner J. I. dos
Ribeiro,Diniz T.
Pereira,Carlos Alberto
author_role author
author2 Ribeiro,Diniz T.
Pereira,Carlos Alberto
author2_role author
author
dc.contributor.author.fl_str_mv Santos,Gésner J. I. dos
Ribeiro,Diniz T.
Pereira,Carlos Alberto
dc.subject.por.fl_str_mv sampling
representativeness
iron ore
topic sampling
representativeness
iron ore
description The risks in the evaluation of mining projects are directly related to the probability of errors in the estimates, and, as the estimates are based on sampling results, this activity must be performed in a careful and planned way, to prevent surprises at the beginning of operation. To validate the representativeness of the borehole samples selected for the mineral processing studies, the geological resources evaluation team proposed a methodology based on the utilization of statistical analyses that, beyond considering the spatial distribution of the samples in the deposit, also assessed if they are representative of the populations under investigation. With this data, the geologist is able to make a fast analysis of the sampling's representativeness.
publishDate 2014
dc.date.none.fl_str_mv 2014-09-01
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=S0370-44672014000300005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0370-44672014000300005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0370-44672014000300005
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 Escola de Minas
publisher.none.fl_str_mv Escola de Minas
dc.source.none.fl_str_mv Rem: Revista Escola de Minas v.67 n.3 2014
reponame:REM. Revista Escola de Minas (Online)
instname:Escola de Minas
instacron:ESCOLA DE MINAS
instname_str Escola de Minas
instacron_str ESCOLA DE MINAS
institution ESCOLA DE MINAS
reponame_str REM. Revista Escola de Minas (Online)
collection REM. Revista Escola de Minas (Online)
repository.name.fl_str_mv REM. Revista Escola de Minas (Online) - Escola de Minas
repository.mail.fl_str_mv editor@rem.com.br
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