Ore Reserve and Resource Assessment

Ore Reserve and Resource Assessment

Goal of the analysis:

The goal of this analysis is to evaluate the quantity, quality, and economic viability of a mining company’s ore reserves and resources. This provides a clear understanding of the company’s long-term production potential and its ability to sustain operations profitably.

Data required:

  • Geological survey reports and maps.
  • Drilling and sampling data (e.g., grade, tonnage).
  • Reserve and resource classification (Measured, Indicated, Inferred).
  • Metallurgical recovery rates.
  • Commodity price forecasts.
  • Operational cost estimates (mining, processing, logistics).
  • Regulatory and environmental compliance data.

Detailed step-by-step instruction on how to conduct the analysis:

  1. Compile Reserve and Resource Data:
    Gather detailed reports on ore reserves and resources, ensuring they are classified according to recognized standards like JORC (Australasian Code), NI 43-101 (Canada), or CRIRSCO guidelines.
  2. Assess Classification Levels:
    Verify the reserve and resource estimates based on their level of confidence:
    • Measured: High confidence based on extensive exploration.
    • Indicated: Moderate confidence with some uncertainty.
    • Inferred: Low confidence, speculative estimates.
  3. Evaluate Grade and Tonnage:
    Analyze the average grade (e.g., grams per ton of gold) and total tonnage for each classification.
  4. Determine Metallurgical Recovery:
    Assess the expected recovery rates during processing to estimate the recoverable quantity of the target metal or mineral.
  5. Analyze Cut-off Grade:
    Calculate the cut-off grade (minimum grade required for economic extraction) using the formula:
    Cut-off Grade = Operating Costs / (Commodity Price x Recovery Rate).
  6. Estimate Economic Viability:
    Use cash flow modeling to evaluate the Net Present Value (NPV) and Internal Rate of Return (IRR) for the reserve. Include operational costs, capital expenditures, and commodity price scenarios.
  7. Perform Sensitivity Analysis:
    Test how changes in key variables (e.g., commodity prices, recovery rates) affect the reserve’s economic viability.
  8. Validate with External Audits:
    Cross-verify estimates with independent geological or mining consultants to ensure accuracy.

Format of the output of analysis:

  • Summary Table with reserve and resource classification (Measured, Indicated, Inferred), grades, tonnage, and estimated recoverable metal or mineral.
  • Sensitivity Chart showing the impact of price and cost variations on economic viability (e.g., NPV, IRR).
  • Geological Map highlighting the ore deposit locations and classifications.
  • Narrative Report summarizing findings, assumptions, and recommendations.

How to interpret results:

  • High Reserve Confidence (Measured and Indicated): Indicates strong production potential and lower risk.
  • Low Reserve Confidence (Inferred): Requires further exploration and validation to support mining investment.
  • Positive NPV and IRR: Confirms economic viability under current and forecasted market conditions.
  • Negative Sensitivity Results: Suggest potential vulnerabilities to price or cost fluctuations, requiring mitigation strategies.

Steps a company can take to improve on this measure:

  1. Conduct additional drilling and sampling programs to increase reserve confidence levels.
  2. Invest in advanced geological modeling tools to improve resource estimation accuracy.
  3. Reassess cut-off grades to optimize economic extraction under varying market conditions.
  4. Collaborate with metallurgical experts to enhance recovery rates through improved processing techniques.
  5. Regularly update resource and reserve models to reflect changes in commodity prices and operational costs.

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How to Analyze a Metals & Mining Company
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