Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits

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The Geostatistics provides effective tools for the solution of many problems of engineering in which the location in the space of the variable under study is considered, based on definitions of mathematics that provide the necessary foundation for its application. In particular, the Geostatistics ar...

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Detalles Bibliográficos
Autores: Edgar M Marín Ballón, Hugo Jiménez-Pacheco, Máximo O. M. Rondón Rondón, Antonio E. Linares Flores Castro, Ferly E. Urday Luna
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Católica de Santa María
Repositorio:Revistas - Universidad Católica de Santa María
Lenguaje:español
OAI Identifier:oai:ojs.revistas.ucsm.edu.pe:article/227
Enlace del recurso:https://revistas.ucsm.edu.pe/ojs/index.php/veritas/article/view/227
Nivel de acceso:acceso abierto
Materia:Geostatistics
Matheron’s Kriging
variogram
Lagrange
geochemistry
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spelling Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral DepositsEdgar M Marín BallónHugo Jiménez-PachecoMáximo O. M. Rondón RondónAntonio E. Linares Flores CastroFerly E. Urday LunaGeostatisticsMatheron’s KrigingvariogramLagrangegeochemistryThe Geostatistics provides effective tools for the solution of many problems of engineering in which the location in the space of the variable under study is considered, based on definitions of mathematics that provide the necessary foundation for its application. In particular, the Geostatistics are applied in the spatial estimation of the recoverable reserves of mineral deposits. The geostatistical methods that are used in the estimation of mineral deposits are implemented in industrial software and consider the evaluation of the complex geological structure, but these softwares only display the obtained results with an input data and do not exhibit the concepts thatthey use during the process or the methodology of its application. This happens particularly with the Kriging method, which is based on the assumption of strict stationarity, taking into account changes in the mean and local variations, therefore unreliable. In this study is established to review the Kriging method, its application in the estimation of the recoverable reserves of mining deposits and the relevance of the developed model established particularly in mines ofPeru, which use this method as part of the mining exploration for the evaluation of the feasibility of exploitation.The Geostatistics provides effective tools for the solution of many problems of engineering in which the location in the space of the variable under study is considered, based on definitions of mathematics that provide the necessary foundation for its application. In particular, the Geostatistics are applied in the spatial estimation of the recoverable reserves of mineral deposits. The geostatistical methods that are used in the estimation of mineral deposits are implemented in industrial software and consider the evaluation of the complex geological structure, but these softwares only display the obtained results with an input data and do not exhibit the concepts thatthey use during the process or the methodology of its application. This happens particularly with the Kriging method, which is based on the assumption of strict stationarity, taking into account changes in the mean and local variations, therefore unreliable. In this study is established to review the Kriging method, its application in the estimation of the recoverable reserves of mining deposits and the relevance of the developed model established particularly in mines ofPeru, which use this method as part of the mining exploration for the evaluation of the feasibility of exploitation.Universidad Católica de Santa María2019-10-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ucsm.edu.pe/ojs/index.php/veritas/article/view/22710.35286/veritas.v20i1.227Veritas; Vol. 20 Núm. 1 (2019): VÉRITAS: Investigación, Innovación y Desarrollo; 59-63Veritas; Vol. 20 Núm. 1 (2019): VÉRITAS: Investigación, Innovación y Desarrollo; 59-63Veritas; Vol. 20 Núm. 1 (2019): VÉRITAS: Investigación, Innovación y Desarrollo; 59-631684-78221684-782210.35286/veritas.v20i1reponame:Revistas - Universidad Católica de Santa Maríainstname:Universidad Católica de Santa Maríainstacron:UCSMspahttps://revistas.ucsm.edu.pe/ojs/index.php/veritas/article/view/227/150Derechos de autor 2019 Veritasinfo:eu-repo/semantics/openAccessoai:ojs.revistas.ucsm.edu.pe:article/2272021-07-13T05:35:15Z
dc.title.none.fl_str_mv Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits

title Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
spellingShingle Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
Edgar M Marín Ballón
Geostatistics
Matheron’s Kriging
variogram
Lagrange
geochemistry
title_short Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
title_full Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
title_fullStr Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
title_full_unstemmed Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
title_sort Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits
dc.creator.none.fl_str_mv Edgar M Marín Ballón
Hugo Jiménez-Pacheco
Máximo O. M. Rondón Rondón
Antonio E. Linares Flores Castro
Ferly E. Urday Luna
author Edgar M Marín Ballón
author_facet Edgar M Marín Ballón
Hugo Jiménez-Pacheco
Máximo O. M. Rondón Rondón
Antonio E. Linares Flores Castro
Ferly E. Urday Luna
author_role author
author2 Hugo Jiménez-Pacheco
Máximo O. M. Rondón Rondón
Antonio E. Linares Flores Castro
Ferly E. Urday Luna
author2_role author
author
author
author
dc.subject.none.fl_str_mv Geostatistics
Matheron’s Kriging
variogram
Lagrange
geochemistry
topic Geostatistics
Matheron’s Kriging
variogram
Lagrange
geochemistry
description The Geostatistics provides effective tools for the solution of many problems of engineering in which the location in the space of the variable under study is considered, based on definitions of mathematics that provide the necessary foundation for its application. In particular, the Geostatistics are applied in the spatial estimation of the recoverable reserves of mineral deposits. The geostatistical methods that are used in the estimation of mineral deposits are implemented in industrial software and consider the evaluation of the complex geological structure, but these softwares only display the obtained results with an input data and do not exhibit the concepts thatthey use during the process or the methodology of its application. This happens particularly with the Kriging method, which is based on the assumption of strict stationarity, taking into account changes in the mean and local variations, therefore unreliable. In this study is established to review the Kriging method, its application in the estimation of the recoverable reserves of mining deposits and the relevance of the developed model established particularly in mines ofPeru, which use this method as part of the mining exploration for the evaluation of the feasibility of exploitation.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-21
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.ucsm.edu.pe/ojs/index.php/veritas/article/view/227
10.35286/veritas.v20i1.227
url https://revistas.ucsm.edu.pe/ojs/index.php/veritas/article/view/227
identifier_str_mv 10.35286/veritas.v20i1.227
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ucsm.edu.pe/ojs/index.php/veritas/article/view/227/150
dc.rights.none.fl_str_mv Derechos de autor 2019 Veritas
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2019 Veritas
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Católica de Santa María
publisher.none.fl_str_mv Universidad Católica de Santa María
dc.source.none.fl_str_mv Veritas; Vol. 20 Núm. 1 (2019): VÉRITAS: Investigación, Innovación y Desarrollo; 59-63
Veritas; Vol. 20 Núm. 1 (2019): VÉRITAS: Investigación, Innovación y Desarrollo; 59-63
Veritas; Vol. 20 Núm. 1 (2019): VÉRITAS: Investigación, Innovación y Desarrollo; 59-63
1684-7822
1684-7822
10.35286/veritas.v20i1
reponame:Revistas - Universidad Católica de Santa María
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instacron:UCSM
instname_str Universidad Católica de Santa María
instacron_str UCSM
institution UCSM
reponame_str Revistas - Universidad Católica de Santa María
collection Revistas - Universidad Católica de Santa María
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