Recent implementations of sensor-based sorting have shown major positive impacts on mining economics. Maximizing sorting efficiency requires two linked pieces of information: particle size and particle grade. In addition to reducing downstream processing, particle sorting improves throughput of viable ore. In general, the coarser the size fraction, the easier the sorting and the greater the economic rewards. Intimately linked to particle size is target mineral grade. Successful upgrading relies on understanding the relationship between target mineral grade and size fraction for each phase of the deposit; information that is critical for designing sorting parameters and algorithms.
In this webinar, experts from SRC’s Mining and Energy Division will show how an industry-unique combination of QEMSCAN® and computed-tomography (CT) scanning technologies can help determine the critical size-grade relationship of the ore and assist in identifying the ideal size fraction(s) to sort. This newly developed toolset is applicable to all major deposit types and size ranges.
Register for CIM Academy and click on Download Document to see attendee questions answered.
Part 1: Mineral Characterization for Optimum Sensor-Based Sorting. Experts from SRC and Unearthed Consulting covered the mineral and sensor characterization required for successfully adopting sensor-based sorting. Learn about sensor-based technologies and their mineral applications, such as XRT, laser, infrared, induction and colour sorters. Aired March 16, 12 p.m. ET. Watch the recordingPresenters
Jane Danoczi works in SRC’s Mining and Energy Division. She has previously served as Manager, Process Design at Shore Gold Inc., CEO of Danoczi Solutions and Senior Research Officer at De Beers. In addition to corporate management and leadership, she has 30 years’ experience in researching and developing mine technologies and is internationally known for her work in diamond recovery technologies.
Peng Luo is an R&D Technical Advisor in SRC’s Mining and Energy Division. His main expertise is enhanced oil recovery technologies, carbon storage, interfacial phenomena, petrophysics and geochemistry for conventional light/medium/heavy oil reservoirs and unconventional tight/shale oil reservoirs in the Western Canadian Sedimentary Basin. His latest specialization includes X-ray imaging techniques with artificial intelligence-related image analysis and simulations for a wide variety of geomaterials, including mineral ores and petroleum reservoir rocks. Jane and Peng will be joined by Marie-Claude Halle and Steven Creighton for the Q & A period.
Steven Creighton is a Research Scientist at the Saskatchewan Research Council and oversees the operation of the Advanced Microanalysis Centre™, which is part of SRC Geoanalytical Laboratories. His major responsibilities include conducting applied research and developing analytical methods that support mineral exploration and environmental mineralogy. Steven holds a Doctorate in Geology specializing in mineral chemistry and has more than 10 years’ experience providing innovative solutions to complex problems.