Analysis and interpretation of massive quality parameters for geomechanical model proposition
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Monografias Ambientais |
Texto Completo: | http://periodicos.ufsm.br/remoa/article/view/18712 |
Resumo: | Before lauching any mining enterprise, whether open pit or underground, must have knowledge of rock mass geomechanical characteristics, which the work will be developed. The geomechanical classification systems are used to obtain information about these characteristics. These systems gather the necessary information and propose an index for rock mass qualifying. This article presents the methodology used on a rock mass qualifying for a lead and zinc deposit, through the classification system Rock Mass Rating (RMR), to propose a geomechanical model. Through the analysis of 50 drill holes with its geological logs it was possible to create the deposit geological model, recognizing the units present in the study area. Were identified 4 units: sandstone, conglomerate, rhythmite and ore. In addition, information was collected regarding the 6 parameters, which RMR is based, on drill holes. After RMR values being determined over all drill holes, they were estimated within each unit by the indicator kriging. From the estimation results was possible to obtain the geomechanical model. In the proposed geomechanical model was observed the predominance of class II (good rock) in all units. In the model base predominated class III and IV (fair rock and poor rock respectively) due to the presence of breccia. |
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Analysis and interpretation of massive quality parameters for geomechanical model propositionAnálise e interpretação de parâmetros de qualidade de maciço para proposição de modelo geomecânicoGeomechanical modelClassification systemsGeomechanical characterizationModelo geomecânicoSistemas de classificaçãoCaracterização geomecânicaBefore lauching any mining enterprise, whether open pit or underground, must have knowledge of rock mass geomechanical characteristics, which the work will be developed. The geomechanical classification systems are used to obtain information about these characteristics. These systems gather the necessary information and propose an index for rock mass qualifying. This article presents the methodology used on a rock mass qualifying for a lead and zinc deposit, through the classification system Rock Mass Rating (RMR), to propose a geomechanical model. Through the analysis of 50 drill holes with its geological logs it was possible to create the deposit geological model, recognizing the units present in the study area. Were identified 4 units: sandstone, conglomerate, rhythmite and ore. In addition, information was collected regarding the 6 parameters, which RMR is based, on drill holes. After RMR values being determined over all drill holes, they were estimated within each unit by the indicator kriging. From the estimation results was possible to obtain the geomechanical model. In the proposed geomechanical model was observed the predominance of class II (good rock) in all units. In the model base predominated class III and IV (fair rock and poor rock respectively) due to the presence of breccia.Antes da abertura de qualquer empreendimento mineiro, seja ele subterrâneo ou a céu aberto, deve-se ter o conhecimento das características geomecânicas do maciço no qual irá se trabalhar. Para obter informações dessas características, utilizam-se os chamados sistemas de classificação. Estes sistemas reúnem as informações necessárias e propõem um índice para a qualificação dos maciços rochosos. O presente artigo apresenta a metodologia adotada na qualificação do maciço rochoso de um depósito de chumbo e zinco, através do sistema de classificação Rock Mass Rating (RMR), para proposição de um modelo geomecânico. Através da análise de 50 furos de sondagem com suas respectivas descrições geológicas, foi possível criar o modelo geológico do depósito, fazendo, assim, o reconhecimento das unidades presentes na área de estudo. Foram identificadas 4 unidades: arenito, conglomerado, ritmito e minério. Além disso, foram coletadas informações referentes aos 6 parâmetros pelos quais o RMR se baseia, nos furos de sondagem. Após serem determinados os valores de RMR ao longo de todos os furos, estimaram-se os mesmos dentro de cada unidade, através da krigagem de indicadores. A partir dos resultados da estimativa, foi possível obter o modelo geomecânico. No modelo geomecânico proposto, foi observada a predominância da classe II (maciço bom) em todas as unidades. Já na base do modelo houve predominância das classes III e IV (maciço razoável e fraco respectivamente) devido à presença de brechas.Universidade Federal de Santa Maria2015-07-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://periodicos.ufsm.br/remoa/article/view/1871210.5902/2236130818712Monografias Ambientais; REMOA, V.14, 2015, ESPECIAL EDITION: TECNOLOGIA EM MINERAÇÃO – UNIPAMPA – CAMPUS DE CAÇAPAVA DO SUL – RS; 62-79Revista Monografias Ambientais; REMOA, V. 14, 2015, EDIÇÃO ESPECIAL: TECNOLOGIA EM MINERAÇÃO – UNIPAMPA – CAMPUS DE CAÇAPAVA DO SUL – RS; 62-792236-13082236-1308reponame:Revista Monografias Ambientaisinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttp://periodicos.ufsm.br/remoa/article/view/18712/pdfCopyright (c) 2015 Revista Monografias Ambientaisinfo:eu-repo/semantics/openAccessAbichequer, Luciana ArntSouza, Luis Eduardo deOliveira Neto, RaulFabrício, Juliana Fernandes2021-05-07T12:41:54Zoai:ojs.pkp.sfu.ca:article/18712Revistahttps://periodicos.ufsm.br/remoaONGhttp://cascavel.ufsm.br/revistas/ojs-2.2.2/index.php/remoa/oai||remoa.ufsm@gmail.com2236-13082236-1308opendoar:2021-05-07T12:41:54Revista Monografias Ambientais - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Analysis and interpretation of massive quality parameters for geomechanical model proposition Análise e interpretação de parâmetros de qualidade de maciço para proposição de modelo geomecânico |
title |
Analysis and interpretation of massive quality parameters for geomechanical model proposition |
spellingShingle |
Analysis and interpretation of massive quality parameters for geomechanical model proposition Abichequer, Luciana Arnt Geomechanical model Classification systems Geomechanical characterization Modelo geomecânico Sistemas de classificação Caracterização geomecânica |
title_short |
Analysis and interpretation of massive quality parameters for geomechanical model proposition |
title_full |
Analysis and interpretation of massive quality parameters for geomechanical model proposition |
title_fullStr |
Analysis and interpretation of massive quality parameters for geomechanical model proposition |
title_full_unstemmed |
Analysis and interpretation of massive quality parameters for geomechanical model proposition |
title_sort |
Analysis and interpretation of massive quality parameters for geomechanical model proposition |
author |
Abichequer, Luciana Arnt |
author_facet |
Abichequer, Luciana Arnt Souza, Luis Eduardo de Oliveira Neto, Raul Fabrício, Juliana Fernandes |
author_role |
author |
author2 |
Souza, Luis Eduardo de Oliveira Neto, Raul Fabrício, Juliana Fernandes |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Abichequer, Luciana Arnt Souza, Luis Eduardo de Oliveira Neto, Raul Fabrício, Juliana Fernandes |
dc.subject.por.fl_str_mv |
Geomechanical model Classification systems Geomechanical characterization Modelo geomecânico Sistemas de classificação Caracterização geomecânica |
topic |
Geomechanical model Classification systems Geomechanical characterization Modelo geomecânico Sistemas de classificação Caracterização geomecânica |
description |
Before lauching any mining enterprise, whether open pit or underground, must have knowledge of rock mass geomechanical characteristics, which the work will be developed. The geomechanical classification systems are used to obtain information about these characteristics. These systems gather the necessary information and propose an index for rock mass qualifying. This article presents the methodology used on a rock mass qualifying for a lead and zinc deposit, through the classification system Rock Mass Rating (RMR), to propose a geomechanical model. Through the analysis of 50 drill holes with its geological logs it was possible to create the deposit geological model, recognizing the units present in the study area. Were identified 4 units: sandstone, conglomerate, rhythmite and ore. In addition, information was collected regarding the 6 parameters, which RMR is based, on drill holes. After RMR values being determined over all drill holes, they were estimated within each unit by the indicator kriging. From the estimation results was possible to obtain the geomechanical model. In the proposed geomechanical model was observed the predominance of class II (good rock) in all units. In the model base predominated class III and IV (fair rock and poor rock respectively) due to the presence of breccia. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-07-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://periodicos.ufsm.br/remoa/article/view/18712 10.5902/2236130818712 |
url |
http://periodicos.ufsm.br/remoa/article/view/18712 |
identifier_str_mv |
10.5902/2236130818712 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://periodicos.ufsm.br/remoa/article/view/18712/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 Revista Monografias Ambientais info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 Revista Monografias Ambientais |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Monografias Ambientais; REMOA, V.14, 2015, ESPECIAL EDITION: TECNOLOGIA EM MINERAÇÃO – UNIPAMPA – CAMPUS DE CAÇAPAVA DO SUL – RS; 62-79 Revista Monografias Ambientais; REMOA, V. 14, 2015, EDIÇÃO ESPECIAL: TECNOLOGIA EM MINERAÇÃO – UNIPAMPA – CAMPUS DE CAÇAPAVA DO SUL – RS; 62-79 2236-1308 2236-1308 reponame:Revista Monografias Ambientais instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Revista Monografias Ambientais |
collection |
Revista Monografias Ambientais |
repository.name.fl_str_mv |
Revista Monografias Ambientais - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
||remoa.ufsm@gmail.com |
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1814256512217907200 |