Targeting Of Gold Deposits In Amazonian Exploration Frontiers Using Knowledge- And Data-driven Spatial Modeling Of Geophysical, Geochemical, And Geological Data

dc.creatorMagalhaes L.A.
dc.creatorSouza Filho C.R.
dc.date2012
dc.date2015-06-26T20:29:25Z
dc.date2015-11-26T14:25:59Z
dc.date2015-06-26T20:29:25Z
dc.date2015-11-26T14:25:59Z
dc.date.accessioned2018-03-28T21:28:49Z
dc.date.available2018-03-28T21:28:49Z
dc.identifier
dc.identifierSurveys In Geophysics. , v. 33, n. 2, p. 211 - 241, 2012.
dc.identifier1693298
dc.identifier10.1007/s10712-011-9151-1
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84857233187&partnerID=40&md5=b31674c634548e3d70a4ed49894916d7
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/97024
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/97024
dc.identifier2-s2.0-84857233187
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1245929
dc.descriptionThis paper reports the application of weights-of-evidence, artificial neural networks, and fuzzy logic spatial modeling techniques to generate prospectivity maps for gold mineralization in the neighborhood of the Amapari Au mine, Brazil. The study area comprises one of the last Brazilian mineral exploration frontiers. The Amapari mine is located in the Maroni-Itaicaiúnas Province, which regionally hosts important gold, iron, manganese, chromite, diamond, bauxite, kaolinite, and cassiterite deposits. The Amapari Au mine is characterized as of the orogenic gold deposit type. The highest gold grades are associated with highly deformed rocks and are concentrated in sulfide-rich veins mainly composed of pyrrhotite. The data used for the generation of gold prospectivity models include aerogeophysical and geological maps as well as the gold content of stream sediment samples. The prospectivity maps provided by these three methods showed that the Amapari mine stands out as an area of high potential for gold mineralization. The prospectivity maps also highlight new targets for gold exploration. These new targets were validated by means of detailed maps of gold geochemical anomalies in soil and by fieldwork. The identified target areas exhibit good spatial coincidence with the main soil geochemical anomalies and prospects, thus demonstrating that the delineation of exploration targets by analysis and integration of indirect datasets in a geographic information system (GIS) is consistent with direct prospecting. Considering that work of this nature has never been developed in the Amazonian region, this is an important example of the applicability and functionality of geophysical data and prospectivity analysis in regions where geologic and metallogenetic information is scarce. © 2011 Springer Science+Business Media B.V.
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dc.languageen
dc.publisher
dc.relationSurveys in Geophysics
dc.rightsfechado
dc.sourceScopus
dc.titleTargeting Of Gold Deposits In Amazonian Exploration Frontiers Using Knowledge- And Data-driven Spatial Modeling Of Geophysical, Geochemical, And Geological Data
dc.typeArtículos de revistas


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