The geometallurgical assessment of by-products—geochemical proxies for the complex mineralogical deportment of indium at Neves-Corvo, Portugal

• Published in: Mineralium deposita Vol. 54; no. 7; pp. 959 - 982
• Main Authors: Frenzel, Max, Bachmann, Kai, Carvalho, João R. S., Relvas, Jorge M. R. S., Pacheco, Nelson, Gutzmer, Jens
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-10-2019; Springer Nature B.V
• Subjects: Antimony; Assessments; By-products; Byproducts; Copper; Cores; Coring; Data; Data processing; Distribution; Drills; Earth and Environmental Science; Earth Sciences; Geochemistry; Geology; Germanium; Heavy metals; Indium; Innovations; Lead; Mathematical models; Metals; Mineral deposits; Mineral Resources; Mineralogy; Minerals; Mining; Modelling; Noble metals; Ores; Process planning; Spatial distribution; Sulfides; Sulphides; Tin; Uncertainty analysis; Zinc; VHMS deposits; Geometallurgy; Mineral balances; By-products; Automated mineralogy; VMS deposits; Trace elements
• ISSN: 0026-4598; 1432-1866
• DOI: 10.1007/s00126-018-0849-6

Many by-product metals are classified as critical. However, they are only of marginal interest to many mining companies and are rarely part of detailed resource statements or geometallurgical assessments. As a result, there is a general lack of reliable quantitative data on the mineralogy and spatial distribution of these metals in ore deposits—hampering assessments of future availability. We propose here an innovative approach to integrate by-product metals into geometallurgical assessments. As an example, we use the distribution and deportment of indium at Neves-Corvo, a major European base-metal mine (Cu + Zn), and one of the largest and richest volcanic-hosted massive sulfide (VHMS) deposits in the world. Based on a combination of bulk-ore geochemistry and mineralogical and microanalytical data, this study is the first to develop a quantitative model of indium deportment in massive sulfide ores, demonstrating how regularities in indium partitioning between different minerals can be used to predict its mineralogical deportment in individual drill-core samples. Bulk-ore assays of As, Cu, Fe, Pb, S, Sb, Sn, Zn, and In are found to be sufficient for reasonably accurate predictions. The movement of indium through the ore processing plants is fully explained by its mineralogical deportment, allowing for specific mine and process planning. The novel methodologies implemented in this contribution for (1) the assessment of analytical uncertainties, (2) the prediction of complex mineralogical deportments from bulk geochemical data, and (3) the modeling of by-product recoveries from individual mining blocks, are of general applicability to the geometallurgical assessment of many other by-product metals in polymetallic sulfide ores, including Ga, Ge, Mo, Re, Se, Te, as well as the noble metals.