2015
DOI: 10.22564/rbgf.v33i2.719
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Magnetic Susceptibility and Gamma-Ray Spectrometry on Drill Core: Lithotype Characterization and 3d Ore Modeling of the Morro Do Padre Niobium Deposit, Goiás, Brazil

Abstract: ABSTRACT. The Morro do Padre niobium Deposit, in the Late-Cretaceous Catal˜ao 2 alkaline-carbonatite complex, central Brazil, consists of stockworks of nelsonite and carbonatite dykes intruded into Precambrian phyllites, quartzites, and amphibolites. A gamma-ray spectrometry and magnetic susceptibility petrophysical survey was conducted on the cores of 73 drill holes in fresh-rock, producing a total of 1295 geophysical samples. Nelsonite, the host rock of the niobium mineralization in the Morro do Padre Deposi… Show more

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“…the recent Integra Gold Rush competition). Even at the diamond drill core characterization stage, which used to consist primarily of a visual log by the geologist, more and more data is becoming available (e.g., physical rock properties, geochemistry, mineralogy, …) (e.g., Ross et al, 2013Ross et al, , 2016aJácomo et al, 2015;Ross and Bourke, 2017;Wang et al, 2017;Bérubé et al, 2018;Chen et al, 2018). Utilizing such large multiparameter datasets to their full potential requires specific algorithms such as multivariate statistical analysis (e.g., Fresia et al, 2017) or ensemble trees (e.g., Bérubé et al, 2018;Caté et al, 2018;Chen et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…the recent Integra Gold Rush competition). Even at the diamond drill core characterization stage, which used to consist primarily of a visual log by the geologist, more and more data is becoming available (e.g., physical rock properties, geochemistry, mineralogy, …) (e.g., Ross et al, 2013Ross et al, , 2016aJácomo et al, 2015;Ross and Bourke, 2017;Wang et al, 2017;Bérubé et al, 2018;Chen et al, 2018). Utilizing such large multiparameter datasets to their full potential requires specific algorithms such as multivariate statistical analysis (e.g., Fresia et al, 2017) or ensemble trees (e.g., Bérubé et al, 2018;Caté et al, 2018;Chen et al, 2018).…”
Section: Introductionmentioning
confidence: 99%