Usage of AI in Exploration

Hi Vineet

I am an exploration geochemist who has spent more than 50 years in mineral exploration, particularly in gold, copper, base metals, and related mineral systems. Throughout my career, I have consistently searched for practical and applicable techniques that could reduce both financial risk and time in exploration programs. It took many years of collecting global data, reviewing geological information, and evaluating exploration results before I gradually came close to a technique that I consider highly valuable—a framework I call the “Standard Model” for different types of mineralization.

After the emergence of AI as a powerful tool, access to information changed dramatically. What once required long periods of searching, reading, and collecting scattered data can now be achieved much faster and more efficiently. The long-standing difficulty caused by limited access to information has, in many ways, turned into a remarkable opportunity: today, one can reach a vast amount of knowledge in a short time—knowledge that previously required months or even years to gather. This transformation is truly remarkable. Sometimes I wish AI had been available 20 years earlier, because it could have saved a significant part of my professional life and effort.

However, like any new method, scientific development, or technological phenomenon, artificial intelligence has both positive and negative aspects; much depends on how it is used. AI is a powerful tool that can help greatly, but it should still be guided by human thinking and scientific judgment. Its real value appears when specialists direct it carefully and use it to obtain meaningful results. I believe that as humans, we are capable of controlling AI in ways that strengthen its positive role and practical usefulness.

Our team is currently engaged in innovative exploration projects in porphyry copper deposits and nickel deposits. We have successfully developed mineralization maps of the minerals identified at the beginning of the project. A key achievement is our new methodology for simultaneous processing of multispectral and hyperspectral data from different satellite constellations, largely supported by our AI algorithms. This methodology was verified through field research, confirming its effectiveness. Additionally, for both projects, we have developed AI algorithms that enable initial estimations and assessments of the prospects in the studied areas, utilizing data from mineralization maps among other sources. https://www.linkedin.com/company/terraeye/mycompany/

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Soleyman Kowsari March 21, 2026 7:56

Hi Vineet

I am an exploration geochemist who has spent more than 50 years in mineral exploration, particularly in gold, copper, base metals, and related mineral systems. Throughout my career, I have consistently searched for practical and applicable techniques that could reduce both financial risk and time in exploration programs. It took many years of collecting global data, reviewing geological information, and evaluating exploration results before I gradually came close to a technique that I consider highly valuable—a framework I call the “Standard Model” for different types of mineralization.

After the emergence of AI as a powerful tool, access to information changed dramatically. What once required long periods of searching, reading, and collecting scattered data can now be achieved much faster and more efficiently. The long-standing difficulty caused by limited access to information has, in many ways, turned into a remarkable opportunity: today, one can reach a vast amount of knowledge in a short time—knowledge that previously required months or even years to gather. This transformation is truly remarkable. Sometimes I wish AI had been available 20 years earlier, because it could have saved a significant part of my professional life and effort.

However, like any new method, scientific development, or technological phenomenon, artificial intelligence has both positive and negative aspects; much depends on how it is used. AI is a powerful tool that can help greatly, but it should still be guided by human thinking and scientific judgment. Its real value appears when specialists direct it carefully and use it to obtain meaningful results. I believe that as humans, we are capable of controlling AI in ways that strengthen its positive role and practical usefulness.
Filip Moczydlowski February 21, 2024 10:56

Our team is currently engaged in innovative exploration projects in porphyry copper deposits and nickel deposits. We have successfully developed mineralization maps of the minerals identified at the beginning of the project. A key achievement is our new methodology for simultaneous processing of multispectral and hyperspectral data from different satellite constellations, largely supported by our AI algorithms. This methodology was verified through field research, confirming its effectiveness. Additionally, for both projects, we have developed AI algorithms that enable initial estimations and assessments of the prospects in the studied areas, utilizing data from mineralization maps among other sources. https://www.linkedin.com/company/terraeye/mycompany/

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