Geochemical evaluation of a hidden Cu-Au mineralization using soil samples along with 3D ore body modeling

Authors

  • Farzad Moradpouri Department of Mining Engineering, Faculty of Engineering, Lorestan University
  • Seyed Masoud Hashemi Ahmadi Massachusetts Institute of Technology (MIT)
  • Reza Ghaedrahmati Department of Mining Engineering, Faculty of Engineering, Lorestan University
  • Kianoush Barani Department of Mining Engineering, Faculty of Engineering, Lorestan University

DOI:

https://doi.org/10.17159/

Abstract

The aim of this paper is to determine the erosion surface of North ROK porphyry deposit (NRPD) in north-western British Columbia in Canada using linear productivity (LP) as the content of an element defining the halo multiplied by the width of the halo in meters. Thus, the 2045 soil samples from the B horizon were analyzed using ICP-MS for 36 elements such as Cu, Mo, Pb, Zn, Au, As, Ag, Ni, Co, Fe, Mn, and some other elements. First, the data set were analyzed to obtain the statistical parameters, and the elements Cu, Mo, Pb, and Zn were chosen to calculate the linear productivity and the total linear productivity. Then, the aforementioned elements were modeled using the probability plot to identify and separate subpopulations in terms of anomalous halos and background including the threshold values of each subpopulation. The results of the probability plot modeling and thresholds values were then used to map the distribution of each element in GIS to calculate the linear productivity. The total linear productivity was calculated which indicates the erosion surface as supra-ore. Finally, the boreholes data was used for a 3D ore body modeling of the elements Cu, Mo, Pb, and Zn which validate and demonstrate the obtained results.

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Published

2026-04-15

Issue

Section

Papers of General Interest