Revista Brasileira de Geofísica
versión impresa ISSN 0102-261X
CARRINO, Thais Andressa; SILVA, Adalene Moreira; BOTELHO, Nilson Francisquini y SILVA, Alexandre Augusto Cardoso da. Análise prospectiva para ouro nas regiões Ouro Roxo-Cantagalo e Chico Torres, Província Mineral do Tapajós. Rev. Bras. Geof. [online]. 2011, vol.29, n.1, pp. 135-154. ISSN 0102-261X. http://dx.doi.org/10.1590/S0102-261X2011000100010.
Spatial modeling (fuzzy logic) was used to predict key areas for gold exploration in the Tapajós Mineral Province (Brazilian Amazon), specifically in the regions here named Ouro Roxo-Cantagalo and Chico Torres. The data used were regional airborne geophysical and SAR-R99B data. The airborne geophysical data processing allowed the generation of evidence layers for modeling approaches. The best evidences in current models were anomalous potassium, F parameter, radioelement ratios, radioelement normalization, and amplitude of the analytical signal of the magnetic anomalous field. The SAR images were used in the photointerpretation stage. In the case of regions of the Ouro Roxo-Cantagalo and Chico Torres shear zones, geophysical images and interpretations (when necessary) were used to application of fuzzy logic, and the gold locations were used to evaluate the quality of the modeling results. The main contributions of this research include the observation of potential gamma-ray spectrometry signatures, the refining interpretation of the digital data, and improving the information of the current geological maps. The prospective Ouro Roxo-Cantagalo and Chico Torres modeling results using the conceptual fuzzy logic method exemplify the generation of regional exploration models for the cartography and selection of gold potential areas. This methodology can be extended to others regions of the Tapajós Mineral Province using airborne geophysical data current available by CPRM and the SAR images of the Centro Técnico Operacional do Sistema de Proteção da Amazônia (CENSIPAM).
Palabras llave : fuzzy logic; predictive maps; greenfield areas.