Product

Exploration Targeting

Quantifying the McKelvey Diagram's "hypothetical resources" quadrant — from qualitative speculation into data-driven targets. Combining Pareto-Lognormal statistics, satellite imagery, and investment context analysis.

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Framework

The McKelvey Diagram Reimagined

V.E. McKelvey's 1973 framework underpins every modern classification system (CIM/NI 43-101, JORC, PERC, SAMREC). We work in the unexplored space — hypothetical and speculative resources — using data from known deposits to make systematic, conservative approximations of undiscovered potential.

Identified Resources

Measured · Indicated · Inferred

Scale: 1:1,000 – 1:5,000

Work: Systematic drilling, block modelling, pit design

Hypothetical Resources

Data-driven targets

Scale: 1:50,000 – 1:250,000

Work: Province analysis, regional favourability, Pareto-Lognormal

← InfoMineral focus area

Reserves

Economically viable

Scale: Feasibility stage

Work: NPV, IRR, mine design, permitting

Speculative Resources

Geological inference

Scale: 1:250,000+

Work: Geological analogy, tectonic models, new frontiers

← Increasing geological certainty ↑ Increasing economic viability

The scale gap: Current categories jump from detailed work (1:1,000–1:5,000) to regional analysis (1:50,000–1:250,000). The missing intermediate scale (1:5,000–1:50,000) is where junior and mid-tier companies execute exploration with budgets of US$500k–2M — where rational, data-driven targeting has the greatest impact.

Remote Sensing

Satellite-Based Mining Detection

Computer Vision and pattern recognition models trained on 200,000+ satellite images to automatically detect mining activities, expansion potential, and investment opportunities in adjacent unexplored areas.

  • Multi-scale analysis from 1:50,000 to 1:1,500 resolution
  • Continuous learning pipeline with geological feature extraction
  • Pit detection validates GEQ scores independently — pits appear where geology predicted
  • Testing in Brazil (Rondônia, Mato Grosso, Pará), Angola, Mozambique
200,000+
Satellite images trained
1:1,500
Maximum resolution
5
Countries tested
CLIP
Zero-shot classification
MINING DETECTED 10 km Active operation Potential target Satellite Grid — Multi-Scale Analysis

Risk Framework

Three Laws of Mineral Risk

Geological potential alone does not justify investment. Context determines which resources are economically viable — not just where to look.

1

The higher the country risk, the fewer viable commodities.

2

The higher the risk, the larger the minimum deposit required.

3

Commodity value must absorb local inefficiencies.

● Traditional Methodology

  1. 1. Favourable geology
  2. 2. Pareto-Lognormal → estimate undiscovered deposits
  3. 3. Rank by tonnage × grade

● InfoMineral Approach

  1. 1. Filter by context: risk tier, viability threshold, infrastructure CAPEX
  2. 2. Adjust by probability of economic development
  3. 3. Rank by expected NPV × life cycle

Supporting Tools

Data Extraction & Content

PDF Image Classifier

Zero-shot classification of visual elements from technical reports — maps, photos, tables, charts. Automatic extraction and organisation by type. Free desktop application.

Infomineral TV

Automated pipeline that transforms technical reports into interview-format video content. The same data pipeline, different output — making geological intelligence more accessible.

Looking for targets in a specific region?

Whether it's a commodity, a country, a geological environment, or a deposit type — let's explore what the data says.

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