In this episode of Fresh Thinking by @SnowdenOptiro , we explore recoverable resource methods and how they help bridge the gap between resource models and what is actually mined.

We discuss key approaches used across the industry, including Uniform Conditioning (UC) and Multiple Indicator Kriging (MIK), outlining how they address grade smoothing and improve predictions at the mining scale. We also cover the strengths and limitations of these methods, particularly their reliance on variograms and their inability to capture uncertainty.

This episode sets the stage for the next discussion on conditional simulation, where uncertainty and variability can be modeled more effectively.

Topics covered:

• What are recoverable resources?
• Why traditional estimation methods fall short
• Uniform Conditioning (UC) explained
• Multiple Indicator Kriging (MIK) explained
• Strengths and limitations of recoverable resource methods Subscribe for more insights on geostatistics, resource estimation, and mining best practices.

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