Reconciliation of sampling data and heterogeneity analysis of a bauxite mine in Poços de Caldas/MG, in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
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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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 |
_version_ |
1754734691839115264 |