Forecast the mineral processing destinations based on spatial interpolation of geometallurgical variables

dc.contributor.authorAbildin, Yerniyaz
dc.contributor.authorMadani, Nasser
dc.contributor.authorTopal, E.
dc.date.accessioned2019-08-20T06:18:14Z
dc.date.available2019-08-20T06:18:14Z
dc.date.issued2018-11-19
dc.description.abstractMine planning is a crucial part of all mining industry projects, and nowadays, geometallurgical mapping through advanced computer technologies provides an opportunity to involve metallurgical responses of a deposit into 3D block model in order to optimise mine planning activities, especially for production forecasting. Including these metallurgical parameters apart from traditional geology and grade-based attributes into resource modelling leads to an extensive approximation for the economic maximisation of mine production due to better forecasting, planning and increasing certainty and the reliability of the resource model (Macfarlane and Williams, 2014). Commonly, geostatistical techniques and algorithms are used to produce models with the high resolution (Brissette et al. 2014; Deutsch et al. 2014; TolosanaDelgado et al. ...en_US
dc.identifier.citationAbildin, Yerniyaz.,Madani, Nasser., Topal, E.(2018) Forecast the mineral processing destinations based on spatial interpolation of geometallurgical variables. Complex Orebodies Conference 2018en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/4139
dc.language.isoenen_US
dc.publisherComplex Orebodies Conference 2018en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectgeometallurgical variablesen_US
dc.titleForecast the mineral processing destinations based on spatial interpolation of geometallurgical variablesen_US
dc.typeArticleen_US
workflow.import.sourcescience

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