406 Currently there are only a few cases of GMBM application, all of them located in Peru: Cu-Mo porphyry Cerro Verde-Arequipa (Fennel et al. 2005), Cu-Mo porphyry TrapicheApurímac (3,227 MPa and 1,050 density determinations), San Gabriel Au mesothermal deposit in Moquegua (Canchaya et al. 2013; 3064 MPa, 5200 density determinations, 3030 FTNIR analysis, and thousands of RQD) and Marcapunta-Cerro de Pasco (Huallpallunca & Zapata 2017). On the other hand, Shahuindo (high sulfidation Au deposit in Cajamarca) is a pioneering example of a project where blasting has been optimized, with the criteria mentioned in this paper, and therefore do not need crushing facilities. 6. CONCLUSIONS With recent technological advances of infrared spectrometers, it is already currently possible to obtain rapid semi-quantitative mineralogical analysis, less than a minute per sample. If we add systematically quick measurements of uniaxial point load, RQD and density; it is now possible to have thousands of data required to implement a probabilistic Geometallurical Block Modell (GMBM); which by far constitutes the best deliverable product of the Peruvian version of Geometallurgy, based on Rock Total Concept. A GMBM like the one proposed in this work will allow, among other advantages, better mining planning; for example, optimizing blending by parallel exploitation on several mining fronts, combining blocks with high clay content to mix them with others of low content.
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