Insights
Thoughts on mining technology, data, and operations.
Perth Datamine Conference 2025
Presentation on IMC method to bring common sense to study outcomes
Mine Planning Software Compared: MiningIQ vs Deswik, Whittle, XPAC, Minemax, Spry and Accumine
An independent capability comparison of the major mine planning, scheduling, haulage simulation, and cost modelling platforms used across the global mining industry in 2026. This guide covers what each tool does, where it fits in the mine study workflow, and where the gaps are — so mining engineers, study managers, and technology teams can make informed decisions.
MiningIQ Platform Capabilities — Technical Specifications and Features
A complete technical reference for IMC Mining's MiningIQ platform and MineCost engine — covering every module from drillhole database management through to enterprise financial modelling. Updated April 2026.
The Haulage Module: From Simulation to Optimisation to Costing
A deep technical look at how MiningIQ integrates first-principles haulage physics, pseudo-flow pit optimisation, Numba-accelerated structure arcs, and BZ scheduling into a single vertically integrated pipeline.
Integrated Feasibility Study: From Block Model to Investment Committee
How IMC Mining’s integration program brought first-principles cost modelling, automated financial statements, and Bayesian risk analysis into a client-led feasibility study for a large-scale bulk commodity operation.
Haulage Physics Engine — First-Principles Truck Simulation
MiningIQ's haulage physics engine is a segment-by-segment kinematic simulator. There is no averaging, no flat-haul approximation — every gradient change, every corner, every road surface type affects the result. Each truck traverses a route built from 3D haul road profiles, and the engine resolves forces, speeds, and travel times using OEM rimpull and retarder curves. The output is a physics-derived cycle time that feeds directly into pit optimisation, scheduling, fleet sizing, and financial modelling.
Enterprise Financial Modelling for Mining — From Cost Model to Investment Committee
How MiningIQ builds structured, auditable financial models that generate complete financial statements, model fiscal regimes across jurisdictions, and deliver board-ready investment committee reports with Bayesian risk analysis — all from a single source of truth.
AI in Mining Workshop — Expression of Interest
A 5-day hands-on workshop teaching mining engineers to use Python, AI coding assistants, and production-grade tools to transition from spreadsheet-driven workflows to auditable, automated systems — built on the same codebase behind MiningIQ and MineCost.