Look-up in Google Scholar
Title: Mejora de la precisión y predicción del Factor de Reconciliación F2 mediante el análisis de datos de Muestreo y Logueo para una Mina de Cobre a Tajo Abierto año 2021 - 2022
Other Titles: The motivation of this research work is given as a result of the implementation of mining reconciliation, which is a tool that is used for monitoring the management of mining processes, for the purposes of the study it addresses the F2 factor, which is transversal to the entire value chain, in principle the results of the year 2021 were monitored, in which the monthly reconciliation values were observed, obtaining 66.7% satisfactory reconciliation within the internationally acceptable range (+-5%), which indicates that due to excess or defect the production plans present the same precision, the analysis of the information with which the geological model is estimated was addressed, which is compared with the production of the milling and the re-handling of ore in the stocks, in the which opportunities for improvement were found through the systematization of field data collection through the development of an application for this purpose, with this development it was possible to improve correlation of field data which presented a correlation of 82%, the project was launched at the beginning of the year 2022 at the end of this period the correlation of the field information was improved obtaining 97% of correlation and consequently the reconciliation, obtaining a considerable improvement in the monthly reconciliation because 91.6% of the values were found within the desired range , which translates as a considerable improvement in the precision of production plans.
Advisor(s): Ayesta Castro, Augusto Narciso
OCDE field: http://purl.org/pe-repo/ocde/ford#2.00.00; https://purl.org/pe-repo/ocde/ford#2.07.05
Issue Date: 4-Sep-2023
Institution: Universidad Peruana de Ciencias Aplicadas (UPC)
Abstract: La motivación del presente trabajo de investigación se da a raíz de la implementación de la reconciliación minera, la cual es una herramienta que se usa para monitorear la gestión de los procesos mineros, para fines del estudio se aborda el factor F2, el cual es transversal a toda la cadena de valor, en principio se monitoreó los resultados del año 2021, en el cual se observaron los valores mensuales de reconciliación obteniéndose el 66.7% de reconciliación satisfactoria dentro rango aceptable internacionalmente (+-5%), lo cual indica que por exceso o defecto los planes de producción presentan la misma precisión, se abordó el análisis de la información con la cual se estima el modelo geológico, el cual es comparado con la producción de la molienda y el re manejo de mineral en los stocks, en el cual se hallaron oportunidades de mejora a través de la sistematización de la toma de datos de campo mediante el desarrollo de una aplicación para tal fin, con este desarrollo se logró mejorar correlación de datos de campo los cuales presentaban una correlación de 82%, el proyecto se puso en marcha a inicios del año 2022 al final de este periodo se mejoró la correlación de la información de campo obteniéndose 97% de correlación y consecuentemente la reconciliación, obteniéndose una considerable mejora de la reconciliación mensual ya que el 91.6% de los valores se encontraron dentro del rango deseado, lo cual se traduce como una considerable mejora de la precisión de los planes de producción.

The motivation of this research work is given as a result of the implementation of mining reconciliation, which is a tool that is used for monitoring the management of mining processes, for the purposes of the study it addresses the F2 factor, which is transversal to the entire value chain, in principle the results of the year 2021 were monitored, in which the monthly reconciliation values were observed, obtaining 66.7% satisfactory reconciliation within the internationally acceptable range (+-5%), which indicates that due to excess or defect the production plans present the same precision, the analysis of the information with which the geological model is estimated was addressed, which is compared with the production of the milling and the re-handling of ore in the stocks, in the which opportunities for improvement were found through the systematization of field data collection through the development of an application for this purpose, with this development it was possible to improve correlation of field data which presented a correlation of 82%, the project was launched at the beginning of the year 2022 at the end of this period the correlation of the field information was improved obtaining 97% of correlation and consequently the reconciliation, obtaining a considerable improvement in the monthly reconciliation because 91.6% of the values were found within the desired range , which translates as a considerable improvement in the precision of production plans.
Discipline: Gestión Minera
Grade or title grantor: Universidad Peruana de Ciencias Aplicadas (UPC). Escuela de Postgrado
Grade or title: Maestro en Gestión Minera
Juror: Talavera Velásquez, Oscar Reynaldo; Cedrón Lassus, Mario Fernando; Guerra Rivas, Félix Santiago
Register date: 29-Aug-2024



This item is licensed under a Creative Commons License Creative Commons