EXPLORATION

Windfall Geotek to look in Gatling's Larder

Artificial Intelligence-based exploration technology company Windfall Geotek plans to work with Gatling Exploration on the latter’s Larder gold project in Ontario.

 Kirkland-Larder’s new high-grade gold project

Kirkland-Larder’s new high-grade gold project

Windfall Geotek will use its CARDS AI analysis product with to generate new high probability gold targets on the project, which is located within the Cadillac-Larder Lake Break Gold Camp.

The algorithms will target areas of interest with the potential to be geologically similar to other gold deposits and mineralisation in the Kirkland-Larder Lake region, noted the company.

All data will be merged into a dataset where then CARDS AI will begin its gold mineral potential analysis. 

"We have witnessed the great work performed by the Windfall Geotek approach in Ontario in recent months and given our data rich environment, we are confident that we will receive multiple gold targets using Windfall's proprietary CARDS AI," said Nav Dhaliwal, Gatling Exploration president and chief executive.

"Our property position is one of the largest in the area and covers 3,370 hectares hosting several gold-bearing rock units. Most of the property is underexplored, so additional tools and techniques can be particularly effective for us to be successful in these new areas. This new layer of AI targeting will be incorporated into our exploration strategy as we vector in on the areas with the highest gold potential".

Michel Fontaine, president and chief executive of Windfall Geotek said: "The momentum and appetite for our CARDS AI technology right now is a combination of the rising gold price and the need to speed up discoveries. We have seen a tremendous increase in demand during the Covid-19 pandemic as our digital exploration represents a great alternative to field work and is a safe way to advance projects quickly."

 

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Figure 1: CARDS - Gatling's Larder Gold Project: Magnetic data (RTP) at 15m resolution (Fathom Geophysics 2020)

 

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