The Application of Multivariate Statistical Analysis in Biogeochemical Exploration at the Yellowknife City Gold Project, NWT, CA



Zohreh Ghorbani –



Z. Ghorbani – Western University, London, ON, Canada
J. Casali – Western University, London, ON, Canada
A. Sexton – VP Exploration, Gold Terra Resources Corp., Yellowknife, NWT, Canada
L.L. Van Loon – Western University, London, ON; LISA CAN Analytical Solutions Inc., Saskatoon, SK, Canada
N.R. Banerjee – Western University, London, ON, Canada


The Yellowknife City Gold (YCG) Property located in the Northwest Territories, occurs within the Yellowknife Greenstone Belt, which contains significant gold deposits. In 2015 and 2017, two comprehensive biogeochemical surveys including approximately 3500 black spruce have been conducted by Gold Terra Resource Corp. across the property. These projects are aimed at defining the biogeochemical response in the black spruce needles that are associated with known gold mineralization and extrapolate these results to a wider survey to find a vector towards new targets. Results returned a sufficient contrast in the data to be able to identify Au anomalies. Several contiguous Au values substantiated by pathfinder elements were identified in association with plutonic intrusions, mafic dykes, and along with shear zones. The Scatter plot matrix revealed a significant correlation between gold and its pathfinder elements including As, Bi, Hg, Se, Sb and Tl as well as gold and other metals such as Fe, Co, Ni, Cr, Pb, and Cd that are related to lithology. Multivariate statistical analysis using ioGAS was also performed on the biogeochemical dataset to bring out strong patterns and interrelationship among elements that are related to mineralization. A strong statistical regression is found between gold in biogeochemical samples and the lithology of the mineralized rocks.

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