Ore bodies comprise heterogeneous boundaries and grades, and are increasingly of low-grade and increasing geological structural complexity. This has adverse impacts on the economics and profitability of mining operations.
Therefore, the different stages of mining and processing need continuous monitoring in order to increase the resource efficiency by maximal use of resources, while decreasing the environmental impact through reduction of energy consumption and waste production.
Two EU H2020 projects (SOLSA (www.solsa-mining.eu) and REAL-TIME (realtime-mining.eu) work on on-line-on-mine-real-time material identification and characterisation, logistics and methods and can co-organise this session.
This session seeks papers which bring in innovative approaches and results, such as automated material characterization, resource-reserve modeling, data-mining, process optimization and value-adding information for optimal ore extraction.
Maarten HAEST (BHP Iron Ore)
Seamless elemental and mineralogical sensing across the mining value chain in BHP Iron Ore to enable metallurgical scheduling.
Associate Professor Economic Geology, Université Paris Sud, FranceIn-house consultant (CATURA-GEOPROJECTS) for ERAMET RESEARCH: SOLSA project (H2020; www.solsa-mining.eu)Thirty years of experiences in the geoscience sector, mainly economic geology, thorough understanding of geological and material science processes through:
- Lecturing, Research & Development in industry and academia including higher educational training of students at international level.
- Publishing in international journals (60 articles), communicating at international conferences (150).
Professor Dr Mike T. Buxton
Dr Monique le Guen