Maximize confidence in stockpile reserves with quantified uncertainty (not averages)
OreMax Turns Long-Term Stockpiles into Auditable, Resource-Grade Models
so resource geologists and mine planners can make confident decisions without relying on assumptions
Reveal missing or misrouted material early to accelerate reconciliation.
Improve blending and long/medium-term plans by using high-resolution stockpile truth
What’s Broken Today?
Black Box Stockpiles
Stockpiles are represented by coarse, unvalidated averages instead of dynamic models.
Fragmented History
Ore movement data is stuck in spreadsheets, legacy systems, and tribal knowledge.
Invisible Uncertainty
Uncertainty isn't quantified, making precise plans behave unpredictably in reality.
How OreMax Works
From raw data to actionable stockpile truth
1. Inputs
Required Data Sources. OreMax works with data you already have:
- Resource & Grade Control Models: Grade, lithology, hardness, and other geometallurgical properties
- Ore Movement Records: Time, origin, and destination data
- Stockpile Surveys: Surfaces and volumes
2. Outputs
What Users Receive:
- High-resolution stockpile block models (granular representation, quantified confidence)
- Ore movement reports (origin, destination, attributes)
- Auditable stockpile inventories (tonnes + key ore attributes)
- Reclamation scenario analysis tool
How often it updates:
-
Supports daily, weekly, monthly workflows
The Deployment Workflow
Configure
Define stockpile geometry, material rules, and data sources.
Upload
historical and current block models, surveys, and records.
Baseline
Create a high-resolution, auditable starting point.
Ingest
Automatically update models as new movements arrive.
Review
Identify misplacements, gaps, and emerging risks.
Top KPIs Impacted
Inventory accuracy, granularity, confidence
measurable improvement in understanding the stockpile resources
Misplacement detection / reduction
earlier identification of misrouting/mis dumps
20-80 hours a week
saved for the geology department
Case Story
Uncovering $11M in Gold
A gold mine’s stockpile averages suggested only low-grade inventory was available. OreMax built a granular model with confidence estimates.
0.1 Mt Unaccounted medium-to-high grade ore identified
US$11M Estimated recovered value for near-term reclamation
Ready to trust your stockpiles?
Request an OreMax walkthrough and see how we can eliminate uncertainty.