A conceptual strategy for effective bulk ore sorting of copper porphyries: Exploiting the synergy between two sensor technologies

• Published in: Minerals engineering 2023-10, Vol.201, p.108182, Article 108182
• Main Authors: Cetin, Mahir Can, Klein, Bern, Futcher, William
• Format: Article
• Language: English
• Subjects: Bulk ore sorting; Copper porphyry deposits; Machine learning; Magnetic Resonance; Prompt gamma neutron activation analysis; Sensor-based ore sorting
• ISSN: 0892-6875; 1872-9444
• DOI: 10.1016/j.mineng.2023.108182

•PGNAA and MR can be used simultaneously for bulk ore sorting of copper porphyries.•Integration is key for deposits with varying bornite and chalcopyrite ratio.•A greater increase in ore value is estimated when the sensors are used together. Bulk ore sorting is a preconcentration technique that may address the operational and environmental challenges of extracting low-grade ore deposits, such as copper porphyries. The technique allows for the early detection and diversion of sub-economic material by sensor-diverter systems before milling, thereby improving mill feed quality and reducing environmental impact. Grade heterogeneity in ore and sensor capability to measure grade accurately are prerequisites to applying bulk ore sorting. The technical synergy between the responses of multiple bulk ore sorting technologies can aid in taking full advantage of the grade heterogeneity existing in sorter feed while providing accurate and precise grade measurements. This study is aimed at quantitatively demonstrating the potential benefits of a conceptual strategy of integrating the responses from two sensor technologies for bulk ore sorting of copper porphyry deposits. Results show that a more significant enhancement in the Net Smelter Return (NSR) of the ore can be achieved by the simultaneous employment of the magnetic resonance (MR) and prompt gamma neutron activation analysis (PGNAA) sensors compared to the bulk ore sorting scenarios in which the sensor technologies are utilized separately. Results are encouraging and can prompt the collaboration of sensor manufacturers and mining companies to prove the actual value of the presented concept by performing on-site trials.