Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil

Detalhes bibliográficos
Autor(a) principal: Alves,Felipe Expedito Martins
Data de Publicação: 2020
Outros Autores: Souza,Beatriz Alexandra de, Bortoleto,Daniel Armelim, Hajj,Thammiris Mohamad El
Tipo de documento: Artigo
Idioma: eng
Título da fonte: REM - International Engineering Journal
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2020000400547
Resumo: Abstract Reconciliation plays a key role in controlling and analysing mine operations. It consists in comparing model estimates with actual results produced by the plant, being used as an indicator, a monitoring tool. Discrepancies between these values are common in the mining industry and they highlight problems during processing steps. However, these discrepancies do not necessarily need to be brought to zero, as long as their order of magnitude is understood. Prognostication, a new concept that seeks to replace reactive reconciliation, aims to raise and correct the real causes of these variations. A common cause of this type of problem is sampling, which in most cases is not performed correctly, providing biased samples and compromising reconciliation analyses. The present study reports, evaluates and improves reconciliation in a bauxite mine located in the city of Poços de Caldas/MG, in Brazil and reports on a study of the heterogeneity of the ore. A common practice of the bauxite mines in Poços de Caldas is to carry out the last stage of sampling manually from the trucks before the ore goes to the treatment plant. The data evidenced that this sampling is biased and systematically overestimates the planned ore grades. In addition, it has been confirmed that the best alternative for the company is to implement a conveyor belt sampler collecting increments every 15 minutes. This method shows the best adherence to the plan, that is 100.7% for available alumina and 83% for reactive silica.
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spelling Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in BrazilreconciliationsamplingTheory of SamplingTOSsampling errorsautomatic samplerprognosticationAbstract Reconciliation plays a key role in controlling and analysing mine operations. It consists in comparing model estimates with actual results produced by the plant, being used as an indicator, a monitoring tool. Discrepancies between these values are common in the mining industry and they highlight problems during processing steps. However, these discrepancies do not necessarily need to be brought to zero, as long as their order of magnitude is understood. Prognostication, a new concept that seeks to replace reactive reconciliation, aims to raise and correct the real causes of these variations. A common cause of this type of problem is sampling, which in most cases is not performed correctly, providing biased samples and compromising reconciliation analyses. The present study reports, evaluates and improves reconciliation in a bauxite mine located in the city of Poços de Caldas/MG, in Brazil and reports on a study of the heterogeneity of the ore. A common practice of the bauxite mines in Poços de Caldas is to carry out the last stage of sampling manually from the trucks before the ore goes to the treatment plant. The data evidenced that this sampling is biased and systematically overestimates the planned ore grades. In addition, it has been confirmed that the best alternative for the company is to implement a conveyor belt sampler collecting increments every 15 minutes. This method shows the best adherence to the plan, that is 100.7% for available alumina and 83% for reactive silica.Fundação Gorceix2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2020000400547REM - International Engineering Journal v.73 n.4 2020reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672020730004info:eu-repo/semantics/openAccessAlves,Felipe Expedito MartinsSouza,Beatriz Alexandra deBortoleto,Daniel ArmelimHajj,Thammiris Mohamad Eleng2020-09-28T00:00:00Zoai:scielo:S2448-167X2020000400547Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2020-09-28T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false
dc.title.none.fl_str_mv Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
title Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
spellingShingle Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
Alves,Felipe Expedito Martins
reconciliation
sampling
Theory of Sampling
TOS
sampling errors
automatic sampler
prognostication
title_short Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
title_full Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
title_fullStr Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
title_full_unstemmed Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
title_sort Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
author Alves,Felipe Expedito Martins
author_facet Alves,Felipe Expedito Martins
Souza,Beatriz Alexandra de
Bortoleto,Daniel Armelim
Hajj,Thammiris Mohamad El
author_role author
author2 Souza,Beatriz Alexandra de
Bortoleto,Daniel Armelim
Hajj,Thammiris Mohamad El
author2_role author
author
author
dc.contributor.author.fl_str_mv Alves,Felipe Expedito Martins
Souza,Beatriz Alexandra de
Bortoleto,Daniel Armelim
Hajj,Thammiris Mohamad El
dc.subject.por.fl_str_mv reconciliation
sampling
Theory of Sampling
TOS
sampling errors
automatic sampler
prognostication
topic reconciliation
sampling
Theory of Sampling
TOS
sampling errors
automatic sampler
prognostication
description Abstract Reconciliation plays a key role in controlling and analysing mine operations. It consists in comparing model estimates with actual results produced by the plant, being used as an indicator, a monitoring tool. Discrepancies between these values are common in the mining industry and they highlight problems during processing steps. However, these discrepancies do not necessarily need to be brought to zero, as long as their order of magnitude is understood. Prognostication, a new concept that seeks to replace reactive reconciliation, aims to raise and correct the real causes of these variations. A common cause of this type of problem is sampling, which in most cases is not performed correctly, providing biased samples and compromising reconciliation analyses. The present study reports, evaluates and improves reconciliation in a bauxite mine located in the city of Poços de Caldas/MG, in Brazil and reports on a study of the heterogeneity of the ore. A common practice of the bauxite mines in Poços de Caldas is to carry out the last stage of sampling manually from the trucks before the ore goes to the treatment plant. The data evidenced that this sampling is biased and systematically overestimates the planned ore grades. In addition, it has been confirmed that the best alternative for the company is to implement a conveyor belt sampler collecting increments every 15 minutes. This method shows the best adherence to the plan, that is 100.7% for available alumina and 83% for reactive silica.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
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=S2448-167X2020000400547
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2020000400547
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672020730004
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 Fundação Gorceix
publisher.none.fl_str_mv Fundação Gorceix
dc.source.none.fl_str_mv REM - International Engineering Journal v.73 n.4 2020
reponame:REM - International Engineering Journal
instname:Fundação Gorceix (FG)
instacron:FG
instname_str Fundação Gorceix (FG)
instacron_str FG
institution FG
reponame_str REM - International Engineering Journal
collection REM - International Engineering Journal
repository.name.fl_str_mv REM - International Engineering Journal - Fundação Gorceix (FG)
repository.mail.fl_str_mv ||editor@rem.com.br
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