Skill: Resource Estimation Support
Validate resource estimates against JORC, NI 43-101, and CRIRSCO standards
What You Can Do
You can systematically review kriging assumptions, variogram interpretations, and search neighborhood designs to strengthen estimate credibility. This skill helps you diagnose bias and variance issues in block models, compare estimation methods with structured analysis, and map your methodology to JORC Table 1, NI 43-101, or CRIRSCO compliance requirements—turning complex geostatistical work into defensible technical documentation.
Features
review kriging methodology, variogram interpretation, and search neighborhood design against best practices
systematically compare inverse distance, kriging, and nearest-neighbor approaches with bias and variance trade-off analysis
identify root causes of model bias or variance issues and recommend corrective actions
align resource estimation methodology with JORC Table 1, NI 43-101, or CRIRSCO standard requirements
create defensible quality assurance and quality control workflows for estimation processes
translate geostatistical findings into clear language for board presentations and investor disclosure
evaluate Mineral Resource vs. Ore Reserve classification against regulatory guidelines
structure technical assumptions and methodology for long-term project file defensibility
Example Output
Example 1: Kriging Validation Summary
- Variogram model interpretation: Spherical model with 45 m range appropriate for domain geology ✓
- Search neighborhood: 2×2×1.5 blocks captures 8–12 composites, balancing bias and variance
- Assumption risks: Stationary mean valid within domain; monitor for grade trends near mineralization boundaries
- Recommendation: Add soft boundaries or indicator kriging near domain contacts
Example 2: Estimation Method Comparison Table
| Method | Bias (%) | Variance | Comp. Time | Regulatory Risk |
|---|---|---|---|---|
| IDW (p=2) | +3.2 | 0.18 | <1 min | Moderate |
| Ordinary Kriging | +0.8 | 0.15 | 5 min | Low |
| OK + Soft Boundaries | +0.4 | 0.14 | 8 min | Low |
Example 3: JORC Mapping Summary JORC 4.1 (Estimation & Modelling): Kriging methodology documented, variogram fit R²=0.92, no apparent bias detected. Classification: Indicated Resource (assumes +2 years mining confidence).
What's Included
- SKILL.md instruction file with full methodology guidance:
- Kriging Assumption Checklist: 15-point validation framework for block model review
- JORC/NI 43-101 Compliance Map: template matching estimation steps to regulatory sections
- Estimation Method Comparison Template: structured framework for multi-method evaluation
- QA/QC Protocol Checklist: workflow documentation and bias-variance monitoring template
- Non-Technical Summary Template: structure for communicating technical findings to boards and investors
Who It's For
- Mining Geologists — validating block models and resource estimates before regulatory submission
- Resource Estimation Engineers — systematizing kriging workflows and compliance documentation
- Technical Directors — reviewing peer estimates and ensuring JORC/NI 43-101 alignment
- Exploration Managers — preparing resource estimate sections of technical reports for board and investor disclosure
- Mineral Project Consultants — assessing estimation methodology rigor and regulatory defensibility for third-party reviews
Best For
- Block model validation and kriging methodology review
- Diagnosis of bias, variance, or statistical issues in resource estimates
- JORC Code, NI 43-101, or CRIRSCO compliance mapping and reporting
- QA/QC protocol development and documentation
- Technical communication of geostatistical findings to non-technical stakeholders
- Peer review preparation and anticipating regulator or auditor questions
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