O3 Mining Inc (CVE:OIII) (OTCMKTS:OQMGF) revealed on Thursday that it had identified more than 25 targets by engaging Mira Geoscience Ltd to conduct geological modelling and exploration on its Alpha property in Val D’Or, in Québec by using Artificial Intelligence (AI).
Toronto-based O3 Mining said it is seeking to “actively minimize” exploration risks and mitigate costs by using advanced technology.
The company said Mira used drilling and mapping databases, geochemical samples, induced polarization, electromagnetic, magnetic and gravity datasets and other data, to provide a regional scale targeting model of the Alpha Property to help with resource expansion and regional exploration.
“The Alpha property is an 80 square kilometre property located in the heart of the Val D’Or district hosting approximately 40 historical gold and copper-gold zones in numerous geological environments. Therefore, prioritization of drilling targets is key to maximize probabilities to rapidly discover significant mineral deposits on the property,” O3 Mining CEO Jose Vizquerra said in a statement.
“The application of the Mira innovative AI methodology is part of an integrated strategy to accomplish this task and come up with the best targets, which in turn will produce the best results and bring the most value to our shareholders,” he added.
According to the O3 Mining, Mira conducted different targeting exercises combining knowledge-driven and data-driven, or supervised machine learning methods. Once the predictive model was deemed strong enough in making an accurate prediction on known mineralization, the company said it was “applied to the voxet to estimate the likelihood of each cell to be mineralized.”
By combining the different prospectivity scores produced by the targeting exercises, Mira produced a set of mineral prospectivity indices (MPI) for the different types of mineralization observed on the Alpha Property.
O3 Mining is also executing a stripping campaign on selected mineralized areas to improve understanding of the geology and mineralization controls within the four sectors on the property. The company said the results will be “fed back into the Mira modelling” to ensure that the “AI process is supported with verified field observations.” This work which started in June will extend into September this year.
“The combined Mira modelling, the in-depth knowledge of the property geology and the results of the stripping campaign will provide a strong base to the upcoming aggressive 150,000 metre drilling campaign slated to be executed between September and April 2021,” said the company.
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