Stochastic Cave Optimization, Design, Simulation & Scheduling

GeoMine Cavemizer  (Cavemizer) is a cave optimization, parametric design, simulation and scheduling tool for block caving operations. Cavemizer includes an automatic footprint finder, a parametric cave designer, a void propagation and filling simulator and a life of mine scheduler. Given a grade model and a set of economic parameters, Cavemizer automatically determines the best footprint and interactively generates the corresponding cave design, it then simulate the material flow of block caving operations and generate optimized production schedules.

Cavemizer also includes an automated end-to-end stochastic workflow allowing the user to generate a P10/P50/P90 reserve distribution as opposed to a single reserve estimate, ideal for quantifying the geological risk and potential upside.

Cavemizer Key Benefits

Automatically determines the best footprints for a single deposit.

Creates and iterates your designs; Automatically generates cross-cuts from a cave design.

Defines your own caving stages, each with its own recovery and external dilutions; Reports precise mineable reserves for each caving stage.

Simulates the material flow of block caving operations and generate optimized production schedules. This sub-module combines a physical mixing model (to simulate material movement and dilution) with an economic scheduler that maximizes Net Present Value (NPV).

This tool allows you to:

  • Simulate granular material flow (mixing) inside the cave.

  • Schedule production based on mill capacity and grade constraints.

  • Manage stockpiles for low-grade material.

  • Visualize cash flow, tonnage, and grade over the life of the mine

The stochastic caving workflow is a three-phase consensus design process, encapsulated in a multi-tab GUI: 

  • Phase 1 –  Per-realization footprint voting: run the cave footprint optimizer runs once per block model realization (each BM is a geostatistical simulation). 
  • Phase 2 – Consensus design: create a Consensus design from all footprints.
  • Phase 3 – Stochastic scheduling: run the caving scheduler N times against the consensus design – once per realization BM – to propagate geological uncertainty into outcome distributions (P10/P50/P90 NPV, production profile, mill feed/grade, cumulative discounted cash flow). 
  • Phase 4: Sensitivity Analysis: repeat all 3 phases for each parameter sweep

Cavemizer requires GeoMine uCAD and Foundation modules. Please click this link for GeoMine uCAD Feature List.

System Requirements:

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