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Minerva AI case study for Klondike Gold

DRIVER recreates model for Klondike Gold in less than a day Metal Tech News - October 3, 2022

Continuing a trend of supporting mineral exploration with its cutting-edge artificial intelligence and machine learning software, Minerva Intelligence Inc. has carried out a case study on the Lone Star gold zone on Klondike Gold Corp.'s Eldorado property in the Dawson Creek Mining District of Yukon, Canada.

Evaluated using Minerva's DRIVER software, Klondike Gold says it was extremely impressed with the results.

"The close agreement between DRIVER's model extents and anisotropy (rocks with engineering properties that vary with direction) with that of the manually created block model strengthens the confidence of the gold distribution at the Lone Star zone," said Klondike Gold President and CEO Peter Tallman. "This program was successful in helping us target higher grades within the known resource areas and to guide us for new discoveries."

The Minerva study compared the gold model generated by DRIVER to existing block models of gold in the Lone Star zone that were made using conventional orebody modeling techniques. The results showed that Minerva's DRIVER software was able to successfully recreate the enriched gold model along with 35 other elements within the datasets in a single day, as opposed to the three weeks when done manually.

AI exploration in legendary Klondike

Less than a 30-minute drive southwest of Dawson City, Klondike's land package covers 586 square kilometers (226 square miles) of the legendary Yukon district that has produced north of 20 million oz of gold since its discovery in 1886.

This district-scale land package includes the Eldorado property, which is centered on the historic Lone Star Mine that operated between the years 1912 and 1914 and covers the Eldorado and Bonanza Creeks of Klondike Gold Rush fame.

Little need be said of this region of the Yukon when you attach the Klondike Gold Rush to it. Historically one of the largest gold fevers, tens of thousands of people traveled north at the prospect of striking it rich.

Now, over a century later, advanced technology such as the AI-powered DRIVER software developed by Minerva offers a futuristic approach to finding the lode source of more than 20 million ounces of placer gold recovered from the streams of the legendary Klondike goldfields over the past 125 years.

With Minerva's DRIVER, which finds critical multi-element zones by evaluating geochemistry against existing mineral deposit knowledge, possibly the most thorough model of geology can be made faster than the word spread of the rich gold strike that was made in the Yukon in 1896.

"This study further validates DRIVER as an indispensable tool that can help confirm and expedite the modelling of 3D geochemistry and enable our clients to spend more time evaluating models rather than generating them," said Minerva Intelligence CEO Scott Tillman. "Our clients are able to use DRIVER to create 3D block models of all the elements in their assay suite, allowing them to gain a better understanding of their deposit for the purposes of mine planning and exploration vectoring."

Just one of the many services that Minerva offers through its TERRA Mining AI suite, to ease the concern for risk, the company additionally announced the launch of its DRIVER website, which features the Klondike Gold case study along with software documentation, tips and tricks, and more information on how to maximize the use of DRIVER.

You can check out the website at https://driver.rocks/.

Additionally, you can read about Minerva and its complete software-as-a-service suite at Time to give AI mineral exploration a try in the April 29, 2020, edition of Metal Tech News.

 

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