Mineral resource estimation using a combination of drilling and IP-Rs data using statistical and cokriging methods

Year 2019, Volume: 160 Issue: 160, 177 - 195, 27.12.2019

Kamran Mostafaei Hamidreza Ramazi

https://doi.org/10.19111/bulletinofmre.502794

Cited By: 1

Abstract

The aim of this
research is the mineral resource estimation using a combination of drilling and
IP-Rs data. Therefore the approach of this paper is to study the correlation of
induced polarization (IP) and Electrical resistivity (Rs) data with drilling
data in order to grade estimation and mineral resource estimation. Reducing the
boreholes number and optimization of the boreholes location is another aim of
this research. The Abassabad copper mine located in Miami-Sabzevar
mineralization belt northeast Iran was chosen as a case study. Within the
borehole locations, geophysical profiles were designed and surveyed. After
IP-Rs data inversion, 2D sections were prepared. The 3D block models of IP-Rs were
constructed by geostatistical methods. The correlation between IP-Rs and
drilling data were examined by statistical and geostatistical methods using
regression, multivariate regression analysis, and cokriging. Based on the
mentioned methods copper grade was estimated and the 3D block models of Cu
grade were constructed. Obtained models were checked and compared with real Cu
model compiled according to drilling data which was done after geophysical
measurements. Results showed that the regression between IP data and Cu grade
was more appropriate with least error. Rs data are not suitable for Cu
estimation, due to changing intervals which led to increasing estimation error.
Based on the suggestions of this paper, we could reduce the number of boreholes
to 30% of the initial number and optimize the boreholes locations.

Keywords

Correlation, Cu grade, IP-Rs, Statistical methods, Cokriging

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