TH
T.J.N. Hogan
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This study investigated the application of co-indicator kriging (Co-IK) in combination with multiple indicator simulation (MIS) for the modeling of the Phase 7 high-sulfidation epithermal gold–silver deposit. This approach was selected in response to the deposit’s pronounced grade variability, intricate alteration zoning, and multi-metal mineralization patterns, which collectively result in highly skewed, non-gaussian grade distributions. By integrating Co-IK and MIS, the objective was to develop probabilistic, domain constrained models that accurately represent the spatial variability of the deposit while mitigating the smoothing bias inherent in traditional kriging methods.
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This study investigated the application of co-indicator kriging (Co-IK) in combination with multiple indicator simulation (MIS) for the modeling of the Phase 7 high-sulfidation epithermal gold–silver deposit. This approach was selected in response to the deposit’s pronounced grade variability, intricate alteration zoning, and multi-metal mineralization patterns, which collectively result in highly skewed, non-gaussian grade distributions. By integrating Co-IK and MIS, the objective was to develop probabilistic, domain constrained models that accurately represent the spatial variability of the deposit while mitigating the smoothing bias inherent in traditional kriging methods.