SciELO - Scientific Electronic Library Online

 
vol.114 issue8Prediction of blast induced ground vibrations in Karoun III power plant and dam: A neural network author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

    Related links

    • On index processCited by Google
    • On index processSimilars in Google

    Share


    Journal of the Southern African Institute of Mining and Metallurgy

    On-line version ISSN 2411-9717Print version ISSN 2225-6253

    Abstract

    ASSIBEY-BONSU, W.  and  MULLER, C.. Limitations in accepting localized conditioning recoverable resource estimates for medium-term, long-term, and feasibility-stage mining projects, particularly for sections of an ore deposit. J. S. Afr. Inst. Min. Metall. [online]. 2014, vol.114, n.8, pp.619-625. ISSN 2411-9717.

    SYNOPSIS A localized nonlinear recoverable resource estimate technique has been applied using typical feasibility or new mining drilling data configurations drawn from a massive database from a mined-out area on a hydrothermal gold deposit. The results were then compared with the corresponding 8 m W 5 m grid grade-control data in order to determine the efficiency of the approach and the validity of the recoverable resource estimates for mine planning and financial forecasts.

    Keywords : localized conditioning; post-processing; nonlinear recoverable estimates; direct and indirect recoverable estimates; kriging efficiency; slope of regression; relative profit; inefficient kriged estimate; conditional bias.

            · text in English     · English ( pdf )