Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm

To perform a surface mine planning it is necessary to start from an initial evaluation of the mineral resource. The open pit schedule evaluation is a key step in the process of planning the extraction activities of a mining company. Traditional approaches applied to define the ultimate pit limit con...

Full description

Autores:
Pareja Zapata, José Mario
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/59702
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/59702
http://bdigital.unal.edu.co/57337/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Long term mine planning
Open pit scheduling
Stochastic optimization.
Planeación minera a largo plazo
Secuenciamiento de minería de superficie
Optimización estocástica
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_263c1bb28c9449e8d33d8260c8e3dbf0
oai_identifier_str oai:repositorio.unal.edu.co:unal/59702
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Franco Sepúlveda, GiovanniPareja Zapata, José Mariofa809d99-dbf2-457b-b988-34715a6f73753002019-07-02T16:37:48Z2019-07-02T16:37:48Z2016-06-07https://repositorio.unal.edu.co/handle/unal/59702http://bdigital.unal.edu.co/57337/To perform a surface mine planning it is necessary to start from an initial evaluation of the mineral resource. The open pit schedule evaluation is a key step in the process of planning the extraction activities of a mining company. Traditional approaches applied to define the ultimate pit limit consider a single estimated model, which deviates from a real assessment of the mineral asset. Over the recent years, new approaches were proposed, so that the benefits of departing from deterministic world view, where every variable are static and modeled from an arithmetic average, to a stochastic evaluation which allows understanding the risk associated to the open pit long term mine planning. Exact optimization approaches were studied due the major roll of mine planning to financial analytics, however the implications associated with these methods are considered and a metaheuristic approach is proposed to solve the case of study.Resumen: Para realizar la planificación de una mina de superficie es necesario partir de una evaluación inicial del recurso mineral. La evaluación del secuenciamiento de una mina a cielo abierto es un paso clave en el proceso de planeación de las actividades de extracción de una empresa minera. Los enfoques tradicionales aplicados para definir el límite máximo de la fosa consideran un único modelo estimado, que se desvía de una evaluación real del activo mineral. En los últimos años, se propusieron nuevos enfoques, de modo que los beneficios de apartarse de la visión del mundo determinística, donde cada variable es estática y modelada desde un promedio aritmético, hasta una evaluación estocástica que permite comprender el riesgo asociado a la planificación minera a largo plazo. Los enfoques de optimización exacta se estudiaron debido a el rol crucial de la planificación minera en los analísis financieros, sin embargo se consideran las implicaciones asociadas con estos métodos y se propone un enfoque metaheurístico para resolver el caso de estudio.Maestríaapplication/pdfspaUniversidad Nacional de Colombia Sede Medellín Facultad de MinasFacultad de MinasPareja Zapata, José Mario (2016) Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm. Maestría thesis, Universidad Nacional de Colombia – Sede Medellín.62 Ingeniería y operaciones afines / EngineeringLong term mine planningOpen pit schedulingStochastic optimization.Planeación minera a largo plazoSecuenciamiento de minería de superficieOptimización estocásticaStochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithmTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMORIGINAL1037606594.pdfTesis de Maestría en Ingeniería - Recursos Mineralesapplication/pdf1108697https://repositorio.unal.edu.co/bitstream/unal/59702/1/1037606594.pdf83a1a6ea1cff10a6e0aa79ad3b1c8e4eMD51THUMBNAIL1037606594.pdf.jpg1037606594.pdf.jpgGenerated Thumbnailimage/jpeg4943https://repositorio.unal.edu.co/bitstream/unal/59702/2/1037606594.pdf.jpgb8b1ec61714f63f0dcbfa1e9be6deacdMD52unal/59702oai:repositorio.unal.edu.co:unal/597022024-04-09 23:10:08.67Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm
title Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm
spellingShingle Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm
62 Ingeniería y operaciones afines / Engineering
Long term mine planning
Open pit scheduling
Stochastic optimization.
Planeación minera a largo plazo
Secuenciamiento de minería de superficie
Optimización estocástica
title_short Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm
title_full Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm
title_fullStr Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm
title_full_unstemmed Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm
title_sort Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm
dc.creator.fl_str_mv Pareja Zapata, José Mario
dc.contributor.author.spa.fl_str_mv Pareja Zapata, José Mario
dc.contributor.spa.fl_str_mv Franco Sepúlveda, Giovanni
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Long term mine planning
Open pit scheduling
Stochastic optimization.
Planeación minera a largo plazo
Secuenciamiento de minería de superficie
Optimización estocástica
dc.subject.proposal.spa.fl_str_mv Long term mine planning
Open pit scheduling
Stochastic optimization.
Planeación minera a largo plazo
Secuenciamiento de minería de superficie
Optimización estocástica
description To perform a surface mine planning it is necessary to start from an initial evaluation of the mineral resource. The open pit schedule evaluation is a key step in the process of planning the extraction activities of a mining company. Traditional approaches applied to define the ultimate pit limit consider a single estimated model, which deviates from a real assessment of the mineral asset. Over the recent years, new approaches were proposed, so that the benefits of departing from deterministic world view, where every variable are static and modeled from an arithmetic average, to a stochastic evaluation which allows understanding the risk associated to the open pit long term mine planning. Exact optimization approaches were studied due the major roll of mine planning to financial analytics, however the implications associated with these methods are considered and a metaheuristic approach is proposed to solve the case of study.
publishDate 2016
dc.date.issued.spa.fl_str_mv 2016-06-07
dc.date.accessioned.spa.fl_str_mv 2019-07-02T16:37:48Z
dc.date.available.spa.fl_str_mv 2019-07-02T16:37:48Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/59702
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/57337/
url https://repositorio.unal.edu.co/handle/unal/59702
http://bdigital.unal.edu.co/57337/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Sede Medellín Facultad de Minas
Facultad de Minas
dc.relation.references.spa.fl_str_mv Pareja Zapata, José Mario (2016) Stochastic optimization of strategic mine planning of a hypothetical copper deposit through a parametrizable algorithm. Maestría thesis, Universidad Nacional de Colombia – Sede Medellín.
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/59702/1/1037606594.pdf
https://repositorio.unal.edu.co/bitstream/unal/59702/2/1037606594.pdf.jpg
bitstream.checksum.fl_str_mv 83a1a6ea1cff10a6e0aa79ad3b1c8e4e
b8b1ec61714f63f0dcbfa1e9be6deacd
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
_version_ 1806886199456956416