Resource Misestimation Losses
Definition
Flawed coal quality sampling leads to bad decisions on resource quantities, affecting sales contracts and operational efficiency.
Key Findings
- Financial Impact: 2-5% revenue loss from inaccurate reserve estimation (industry standard for quality data errors)[5][3]
- Frequency: Annual resource update cycles
- Root Cause: Insufficient points of observation and sample integrity issues in manual sampling
Why This Matters
The Pitch: Coal industry in Australia faces 2-5% revenue loss from decision errors on faulty quality data. Standardised sampling protocols reduce planning inaccuracies.
Affected Stakeholders
Resource Geologists, Mine Planners
Deep Analysis (Premium)
Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Sampling Error Financial Risk
Re-testing from Sampling Bias
Queensland Black Lung Regulatory Non-Compliance & System Failures
WorkCover Claim Processing Delays & Administrative Friction (Black Lung)
WorkCover Fund Capacity Drain from Black Lung Undiscovery & Late Detection
Contract Pricing Volatility & Lock-In Risk
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