Metalik Bir Maden Yatağında Tenör Dağılımı Benzetimi Yapılarak Maden Bloklarının Kazılma Olasılıklarının Tahmini

Abstract

The thesis study covers the investigation of a gold deposit using geostatistical methods. In order to improve the variability that orebody was simulated, to characterize the uncertainties and not be affected by outliers.

A solid model was created from the composite data available for analysis and a block model was defined within the area. The fact that the amount of composite data is very low in volume compared to the area to be estimated leads to an uncertainty in that area. In order to assess spatial uncertainty in grade and to reproduce regional variability, DSS method is used. DSS can characterize the spatial distribution of raw data without requiring any data transformation.

To determine the usability of the simulations, the accuracy of the simulation averages and variograms were tested. Instead of inappropriate simulation results, new simulations were produced and the number of simulations was completed to 100.

Lerch & Grossman approach is the most common open pit optimization method to determine economic profitability in deposits with sub-surface mineralization. With this approach, one of the most important parameters for revealing the ultimate pit limits is the grade values of the relevant mineral blocks. In order to model the effect of the uncertainties in grade values on the final limits, each realization of simulation was optimized. With the prediction of grade ranges, multiple open pit geometries with different economic importance were obtained. Excavation probabilities were calculated as a result of the evaluations. Thus, various risk analyzes can be made against grade uncertainties in order to produce available resources more efficiently.