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Extensive, variable, and generally thick regolith is a major challenge to mineral exploration in regolith-dominated terranes. The landscape of the Mount Isa Inlier, NW Queensland, Australia, is the product of several episodes of complex weathering, erosion and sedimentation. Weathering profiles were studied from more than 100 drill holes along three traverses crossing the Lady Annie, Mount Kelly and Anthill sulfide deposits to assess the nature, lateral extent and thickness of the supergene Cu oxide mineralization. A typical regolith profile consists, from the base up, of saprock, ferruginous saprolite (Cu-oxide zone), kaolinitic saprolite and silcrete bands (leached zone), and a pedolith of mottled, lateritic duricrust and soil zones. Oxidation of sulfides (primarily pyrite) in host rocks has created an acidic pH gradient, mobilizing Fe, Mn, Cu, Mo, Zn, Co, Ni, As, Bi, In, Sb, Be, P, U and Cd. The acidic pH is buffered by calcareous lithologies of the host rocks, particularly in the vicinity of the primary sulfides at Lady Annie and Mount Kelly resulting in formation of thick, mushroom-shaped Cu oxide halo, in which Cu may reach > 15 wt.%. The Cu values decrease to < 500 ppm in the bleached kaolinitic saprolite and silcrete. Conversely, siliceous bedrock lithologies at Anthill act as a weak buffer to the acidic fluids; thus, Fe, Cu and other mobile elements are laterally dispersed from the sulfide ore body and precipitated at different lithological boundaries where they are buffered by carbonates. Therefore, thick kaolinitic saprolite and silcrete are formed over sulfide mineralization, particularly along faults. Ferruginous duricrusts marginal to fault-controlled sulfide mineralization are anomalous in Cu, Zn, Cd, Sb and Be, and thus can be used as useful medium in geochemical exploration. Gold, Ag, Pb and As are residually concentrated in pedolith and kaolinitic saprolite over the primary sulfide mineralization. Thus, these elements can be used effectively as pathfinder elements, particularly in truncated landscape, where pedolith is eroded and the exposed kaolinitic saprolite is depleted in Cu. Ferruginous soil (850–300, 300–80 and < 80 μm size fractions), lag (> 1.6 and > 7.6 mm) and termite mounds have been applied successfully as sampling media for Cu oxide exploration in Anthill. Soil and lag over sulfide mineralization are rich in Fe, As, Pb, Ag, Bi, In, V, U and Mo. The best response over sulfide mineralization is recorded in the > 7.6 mm ferruginous lag. However, broadest signature of well-defined Au, Bi and In anomalies are better detected using termite mounds than soil and lag. Successful use of soil in exploration for Cu oxide deposits in Mount Isa requires a genetic discrimination between residual and transported origin. [ABSTRACT FROM AUTHOR]

Abstract: Geological logging by mine and exploration geologists involves the application of a classification code that requires a geologist to make a subjective decision to classify a particular rock unit (e.g. rock type, alteration intensity, mineralisation content). Where multiple geologists carry out logging this approach will most likely result in inconsistencies that are difficult to monitor or assess over time. A potential solution to this problem is to have a method to determine the nature of a given sample based on a set of fixed and quantifiable parameters. Plutonic Gold Mine (Plutonic), in Western Australia, has a growing dataset of more than 150 000 portable X-ray fluorescence (pXRF) multi-element analyses from core and underground face samples, reconciled to Au fire-assay concentration, and logging codes. This study analyses and validates the consistency with which Plutonic's logging codes have been applied from 2009 to 2013. In doing so, we have developed a schema that allows objective logging by utilising elemental data from pXRF analyses to allocate a mineralisation code. A K/V ratio is used to determine the degree of alteration, while As+12Cu concentrations are used to determine how sulphide-rich a sample is. Thresholds were defined to maintain consistency with pre-existing logged dataset. While far from replacing the geologist, this method is complementary that adds significant value to a dataset. [Copyright &y& Elsevier]