Automated reflectance spectroscopy for deposit recovery - SEG 2014 poster

Visible and near infrared reflectance spectroscopy is an accepted method for identification of pathfinder minerals that serve as exploration vectors. The method is now widely used to assist in new deposit discovery as well as to provide key mineralogical information during mine development. The combination of portable instrumentation and automated analysis methods now allow for real-time identification of pathfinder minerals as well as the determination of associated geochemical and geothermal parameters.

The reflectance spectrum of white micas and chlorite group minerals contain information related to composition, crystallinity and metamorphic grade. The wavelength positions of Al-OH, Fe-OH and Mg-OH absorption features are highly correlated to chemical composition, b unit cell dimension, and Kübler index values. For white micas, both the Nato- K ratio in interlayer sites and the degree of Fe or Mg substitution for Al in the octahedral layer influence the position and shape of the Al-OH absorption feature. The depth of absorption features associated with structural water in these minerals varies with thermal maturity. With the dehydration associated with increasing metamorphic grade, the ratio of the depth of the water absorption feature to the depth of Al-OH, Fe-OH and Mg-OH features decreases. Together, these parameters enable detailed mapping of geochemical and geothermal gradients, and have contributed to the discovery and development of a wide range of economic deposit types.

Pathfinder minerals that serve as vectors to economic deposits are present many geologic systems. Rapid reflectance spectroscopy enables their identification, as well as the determination of their associated compositional, crystallinity, and thermal maturity parameters, and provides the means to map geochemical and geothermal gradients in these systems. In many cases, the relationship between the properties of these minerals and the proximity to the ore zone provides a very useful exploration vector.


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