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    ICMM mining GHG dataset: value-chain insights and key takeaways for engineers

    March 10, 2026|

    Reviewed by Tom Sullivan

    ICMM mining GHG dataset: value-chain insights and key takeaways for engineers

    First reported on International Mining – News

    30 Second Briefing

    ICMM has released a Global Mining & Metals Greenhouse Gas Emissions Dataset and insights report showing that extraction of minerals critical for renewable energy technologies and sustainable development contributes a relatively small share of global GHG emissions. The dataset aggregates Scope 1 and 2 emissions from mining and metals operations worldwide and distinguishes them from downstream processing and end-use sectors such as power generation and transport. ICMM positions the tool to support more accurate value-chain accounting, scenario analysis and decarbonisation planning for commodities like copper, nickel, lithium and rare earths.

    Technical Brief

    • Output can be used to benchmark mine energy intensity and prioritise decarbonisation projects in planning and operations.

    Our Take

    ICMM features in several ESG-heavy pieces in our database, and pairing this new Global Mining & Metals GHG Emissions Dataset with the 2026 ESG risk outlook work involving ICMM and firms like Deloitte and KPMG suggests it will likely be used as a reference baseline for investor and lender climate due‑diligence on mining portfolios.

    With Antofagasta’s CEO chairing ICMM from late 2025, as noted in our related coverage, the dataset could quickly influence how large copper and gold houses frame Scope 1–3 pathways in their own disclosures, especially where they are already under pressure on critical minerals supply chains.

    Among the 2030 tag‑matched ‘Sustainability’ pieces, relatively few provide sector‑wide quantified emissions views, so this ICMM dataset is positioned to become the de facto benchmark against which project‑level decarbonisation claims are compared in future reporting and assurance work.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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