Economic-Driven Resource Modelling: Unlocking Hidden Value

Case Studies

Economic-Driven Resource Modelling: Unlocking Hidden Value

Asturmine transforms static geological frameworks into dynamic, market-responsive models that identify profitable material previously classified as waste.

Au – Ag - Cu – Zn – PbMulti-Asset / VMSStrategic & Operational PlanningResource Estimation & Grade Control

Identified economic material outside active resource models

Integrated real-time market volatility into geological domains

Extended Mine Life (LOM) through cut-off grade optimization

Captured untapped byproduct value (Au-Cu) in legacy systems

1. Context

Traditionally, geological models are constructed as rigid frameworks based on lithology and structure. However, the practical framework for mining decisions is the economic grade shell.

Asturmine recognizes that while stable reporting is necessary, 'model inertia' often prevents operations from capitalizing on current market highs, leaving economically viable material unidentified.

Asturmine integrates economic assumptions directly into the interpretation process to ensure models reflect real-world profitability.

2. Challenge

Metal markets are experiencing significant fluctuations, yet many resource models remain static, leading to significant missed opportunities:

  • Economic material remains excluded from active mine plans
  • Legacy models fail to account for secondary metals (e.g., Cu or Au in VMS feeders)
  • Strategic models use outdated cut-off grades (e.g., 4 g/t Au vs a viable 2 g/t Au)
  • Material classified as waste is actually profitable under current pricing

3. Solution

Asturmine implemented an Economic-Driven Modelling approach, performing agile and technically robust reassessments of existing assets to align geological logic with market reality.

  • Rapid re-interpretation of grade envelopes using updated economic formulas
  • Multi-metal assessment to capture byproduct value in historical districts
  • Integration of low-grade material into opportunistic short-term planning
  • Dynamic workflows that allow models to adapt to price volatility without losing geological integrity

4. Conclusions

4.1. Long-Term Strategic Value

By identifying new economically viable zones, the operation achieves a fundamental shift in asset valuation.

  • Measurable extension of Mine Life (LOM)
  • Enhanced strategic value of the mining asset
  • Transition from single-commodity to multi-metal operations
➡️ Operational impact: Unlocking strategic upside that rigid, purely geological approaches overlook.

4.2. Short-Term Operational Gains

The approach provides immediate flexibility to production plans and improves monthly financial results.

  • Identification of incremental material for immediate plant feed
  • Increased flexibility in blending and production scheduling
  • Reduction in the stripping ratio by reclassifying waste as ore
➡️ Operational impact: Improved cash flow and optimized resource utilization in real-time.