Application of integration IP and Rs and grade data to modeling and evaluate a copper deposit (case study Sarbisheh copper deposit, Iran)

This paper is devoted to the application of Integrated Chargeability and Resistivity and grade data in modeling and evaluating copper deposits. In the other words, the relationship between IP, Rs and grade data has been applied to do modeling and reserve estimation. For this purpose Sarbisheh copper deposit located in eastern Iran, has been selected as a case study. Geological and mineralization situation of Sarbisheh deposit was reviewed. Then geophysical survey design was carried out based on the borehole exploration location and other parameters such as the geological and topographical situations. Five profiles were designed and surveyed using the dipole-dipole array. The obtained data was processed and 2D sections of IP Rs were prepared for each profile by inverting the data using the Res2dinv software. Based on the geostatistical methods a 3D block model for IP and Rs data was prepared using Datamine Studio software. As mentioned there are some exploratory boreholes in the studied area. The relationship between IP Rs and copper grade has been calculated based on the statistical and neural network methods. In the statistical methods, in the location which there is not any borehole data, Cu grade was estimated according to the regression and multivariate regression analysis. The copper grade was also predicted by using the neural network at unrecognized points. Then for each one of the blocks identified by IP 3D model, Cu grade was calculated. Finally, a 3D block model of this copper deposit was prepared. Drilling results show the 3D block model has a good correlation with real Cu modeling.