3D modelling for mineral resource estimation of the Darreh-Zereshk copper deposit using the indicator kriging approach APCOM 2021

The Southern African Institute of Mining and Metallurgy
Z Bagheri E Moosavi
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
10
File Size:
523 KB
Publication Date:
Sep 1, 2021

Abstract

Identifying the exact borders of geological domains and assessing the uncertainty of these borders are crucial steps in resource estimation. This potential field method was designed to build 3D geological models from data available in geology and mineral exploration, namely the geological map and a digital terrain model, structural data, borehole data, and the geologist’s interpretations. The resource evaluation of a copper ore deposit is often performed in three steps: (i) delimitation of the boundaries of the units corresponding to the various geological formations or ore types; (ii) estimating densities; and (iii) estimation of grades within each unit. In simple cases (e.g., a series of sub-horizontal layers), the geometric model can be built using 2D geostatistical techniques (kriging or co-kriging of the elevations or thicknesses of the various horizons) which also quantify the uncertainty of the model. A 3D model of Cu grade is generated using ordinary kriging; however, the indicator kriging method is run to design a 3D model of rock types by incorporating the drilling results. Block models of geophysical and geological characteristics are included in a similar 3D mesh to investigate their relationships in copper mineralisation.
Citation

APA: Z Bagheri E Moosavi  (2021)  3D modelling for mineral resource estimation of the Darreh-Zereshk copper deposit using the indicator kriging approach APCOM 2021

MLA: Z Bagheri E Moosavi 3D modelling for mineral resource estimation of the Darreh-Zereshk copper deposit using the indicator kriging approach APCOM 2021. The Southern African Institute of Mining and Metallurgy, 2021.

Export
Purchase this Article for $25.00

Create a Guest account to purchase this file
- or -
Log in to your existing Guest account