Uncertainties in quantitative mineralogical studies using scanning electron microscope-based image analysis

摘要: Abstract Scanning electron microscope-based automated mineralogy studies are readily associated with quantitative results, providing one of the foundations geometallurgical studies. Despite importance data for such studies, and efforts to reduce statistical errors, reporting uncertainties is rare. This contribution illustrates how bootstrap resampling can be used provide robust estimates modal mineralogy, metal deportment all relevant textural attributes a sample or series samples. Based on case study Bolcana Au-Cu porphyry deposit in South Apuseni Mountains, Romania, impact insufficient sampling statistics mineralogical illustrated. Quantitative analyses microfabric milled ore samples from seven 40 m drill core intervals Prospect were conducted using Mineral Liberation Analyser (MLA), complemented by probe micro-analysis. Bootstrap was then applied assess many grain mount surfaces should analysed achieve statistically results both Cu Au attributes. variable grades mineralisation styles, estimated consistently low. In contrast, so high that most reported values important characteristics meaningless. mainly attributed pronounced nugget effect mineralisation, exacerbated small size MLA. An unfeasible number measurements would necessary figures minor/trace elements minerals, along other tangible properties, as mineral associations. The this demonstrate need carefully incorporated when considering their models. particularly precious ores.