Mining Engineering & Economics Platform
Expert analysis on AACE cost estimation, critical minerals, ESG strategy, digital mining, and global commodity markets — from KDMine Group's senior engineers and economists.
A practical guide to selecting the right AACE estimate class for each project stage — from early exploration through to construction decision.
Read Article →IEA forecasts a 40% lithium supply deficit by 2030. We break down the engineering and economic implications for project developers.
Green loans now offer 30–60bps below market rates for mining projects with credible ESG frameworks. Here's exactly what lenders require.
We analysed 8 Digital Twin deployments across copper, gold, and iron ore operations. Average OPEX reduction: 16.4%. Average ROI payback: 9.2 months.
We aggregate forecasts from Goldman Sachs, CRU Group, Wood Mackenzie, and our own models. Consensus: $10,200–$12,500/t by 2028 driven by energy transition demand.
Cost Estimation
Updated 2026 OPEX benchmarks for copper, gold, iron ore, and lithium open pit operations across Africa, Australia, Americas, and Central Asia — using CostMine 2025 data.
New ISSB and SEC climate disclosure rules mean Scope 3 emissions are now a material financial liability. We explain the methodology and mitigation strategies.
Real case studies from 12 mining operations show AI predictive maintenance delivering 15–28% reduction in unplanned downtime. Here's how to implement it.
Critical Minerals
HPAL projects have historically overrun by 40–120%. We analyse why, and what Class 3 estimates for HPAL should actually include in 2026.
How to use Monte Carlo simulation to determine statistically defensible contingency for AACE Class 3–5 mining estimates. Includes worked examples with P50/P80/P90 outputs.
Iran holds the world's 10th largest mineral reserves. We map the $14B active project pipeline across copper, zinc, iron ore, and critical minerals — with CAPEX and timeline data.
Haul trucks +18%, SAG mills +22%, HPGR +31% since 2023. We break down equipment cost inflation by category and show how to adjust your AACE estimates accordingly.
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