Building reliable mine cost models requires more than high-level assumptions. This webinar shows how WOODY uses first-principles engineering and real-world data to benchmark CAPEX, OPEX, and production across copper and gold assets.
Mining cost estimation is becoming more complex as data, inputs, and assumptions continue to evolve. This talk explores how machine learning enables faster CAPEX and OPEX analysis, improves benchmarking, and supports better project evaluation.
In this analysis, Costmine Intelligence used WOODY—our proprietary benchmarking platform—to replicate the Reko Diq Project’s assumptions and generate capital and operating cost estimates based on current market rates, location-adjusted inputs, and a comprehensive, independently scoped cost framework.
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