z-logo
open-access-imgOpen Access
The Value of Adaptive Mineral Processing based on spatially varying Ore Fabric Parameters
Author(s) -
K. Gerald van den Boogaart,
Christin WEIßFLOG,
Jens Gutzmer
Publication year - 2011
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Reports
DOI - 10.5242/iamg.2011.0265
Subject(s) - mineral processing , mineral , value (mathematics) , geology , mineralogy , computer science , mining engineering , materials science , metallurgy , machine learning
doi:10.5242/iamg.2011.0265 We show that adapting the mineral processing to the local ore fabric (mineralogy and micro-structure) can substantially improve the profitability of the mine, however, only a proper geoma-thematical methodology using conditional expectations of profits rather than direct measure-ments can avoid losses. Based on geometallurgical exploration data and processing models po-tential gain and actual gain of this approach can be quantified before exploitation commences. Rules for optimal decisions, estimators for the gain of this approach from exploration data, and a method to compute the optimal geometallurgical sampling density are presented

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom