Integrating Open Source Data via Time and Space in the Yukon Tanana Terrane: A Frank Arnott Submission
Posted on 2017-09-25 in Events
Sep 29, 2017
Pls join us for a graduate student seminar this Friday September 29 at 3:30 pm in rm 155 Geology presented by Ty Magee, MSc candidate:
Integrating Open Source Data via Time and Space in the Yukon Tanana Terrane: A Frank Arnott Submission
Ty Magee*, Todd LeBlanc, Matthew Nadeau, Colton Vessey
The Yukon-Tanana terrane is characterized by a mature landscape with extensive development
of residual soil, poor outcrop exposure, discontinuous permafrost, and locally thick vegetation
cover. With a complex geodynamic evolution, the Yukon-Tanana terrane is host to various types
of mineralization, including porphyry, VMS, epithermal, SEDEX and MVT. Due to the nature of
the Yukon-Tanana terrane landscape, new approaches for analysing the available geological,
geochemical, and geophysical data in the region are required to facilitate exploration. The
principal aim for this project was to derive new methods involving the use of structured
geological databases and associated data visualization of regional geologic trends linked to
igneous activity and porphyry mineralization, in combination with the integration of multidisciplinary
techniques. An additional objective was to maximize the value of pre-existing opensource
data and to prioritise opportunities for mineral exploration. The techniques used in this
project include: 1) a dynamic plate reconstruction model of the Cordillera: 2) construction of a
new, simplified lithological map of the Yukon-Tanana terrane in relation to known metallogenic
events; 3) processing regional and grid-spaced magnetics and radiometric data to display
tectonic extensions from outside the project area; and 4) and generation of stream sediment
geochemistry interpolation maps. Combining these techniques, multiple regional targets/trends
have been delineated, showing promising attributes that have potential for further exploration
in the search of new resources.
This work was submitted to the Frank Arnott Award, which is a collaborative competition,
focusing on innovation, data integration, and visualization with a strong emphasis on
incorporating multiple disciplines such as geophysics, geochemistry, geology and data mining.
Student groups and industry professionals from around the globe entered this competition, and
our team from the University of Saskatchewan are one of two finalists for this prestigious
award in the Apprentice category. The authors will present their submission to a panel of
judges and an audience at the Exploration ’17 conference in Toronto on Oct. 24th.
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