Zanskar uses AI to discover hidden geothermal energy site, first industry find in decades

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Geothermal startup Zanskar has identified a commercially viable hidden geothermal system in Nevada using AI technology, marking the first such discovery by the energy industry in decades. The site, called Big Blind, reaches 250°F at 2,700 feet below the surface and could provide constant clean power without greenhouse gas emissions as electricity demands rise globally.

AI Technology Transforms Geothermal Exploration

Geothermal startup Zanskar announced Thursday that it has identified a commercially viable site for a potential geothermal power plant in Nevada, marking what the company claims is the first discovery of its kind made by the energy industry in decades

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. The breakthrough demonstrates how AI is reshaping the search for hidden geothermal energy resources, a challenge that has stymied the sector for years through costly and inefficient drilling methods.

Historically, finding new sites for geothermal energy production was a matter of brute force, with companies spending significant time and money drilling deep wells in hopes of locating viable spots

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. Carl Hoiland, Zanskar's cofounder and CEO, says the company aims to "solve this problem that had been unsolvable for decades, and go and finally find those resources and prove that they're way bigger than previously thought"

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Source: Wired

Source: Wired

Zanskar's Big Blind Discovery Changes the Game

The newly identified site, which Zanskar calls Big Blind, features a reservoir that reaches 250°F at approximately 2,700 feet below the surface

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. To support a successful geothermal power plant, a location needs high temperatures at an accessible depth and adequate space for fluid to move through rock and deliver heat. The company has completed fieldwork to confirm its model's predictions for this site, validating the effectiveness of its AI-driven approach.

"When we started this company, I think the most common message we heard was that geothermal was dead -- it was a history of bones, a graveyard of so many failures," Hoiland explains. "To get to this point where, thanks to these new tools and these new capabilities, you can systematically find these sites and systematically derisk them -- we just think this is the first full-scale signal that the tide has turned"

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How AI Models Identify Hidden Geothermal Systems

Zanskar's approach represents a significant departure from traditional geothermal exploration methods. The company uses regional AI models to search large areas, training them on known hot spot data and simulations it creates

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. These models analyze geological data, satellite information, and other inputs including details about fault lines to predict where potential hot spots might exist.

Joel Edwards, Zanskar's cofounder and CTO, describes the challenge as "sort of a needle-and-haystack problem," noting that "a very small percentage of the land that you will look at will have a geothermal system associated with it"

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. Most hidden geothermal systems that are hot enough to generate electricity lie deep underground with no surface evidence, making them extraordinarily difficult to locate. Many existing geothermal power plants were built over systems discovered accidentally during drilling for agricultural wells, minerals, or oil and gas exploration.

Addressing Increasing Electricity Demands Without Emissions

As electricity demand rises globally, geothermal energy could provide a clean power source that delivers constant output without emitting the greenhouse gases that drive climate change

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. Unlike solar and wind, geothermal systems produce steady baseload power regardless of weather conditions or time of day. Reservoirs of hot water underground, heated by the Earth's core, produce steam that powers turbines at the surface, requiring no excessive mining or complex fuel conversions

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Source: MIT Tech Review

Source: MIT Tech Review

Geothermal resources are particularly accessible in areas where tectonic plates meet and the Earth's crust is thinner, making the western US a strong candidate for development

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. Edwards reveals that Zanskar has identified numerous potential sites using its technology: "We have dozens of sites that look just like this"

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What This Means for the Future of Geothermal

The successful identification of Big Blind suggests that AI-powered geothermal exploration could unlock vast untapped resources previously considered too risky or expensive to pursue. The federal government attempted to increase geothermal output during the 1970s oil crisis by methodically drilling for blind systems in Nevada, but those efforts largely failed due to the limitations of available technology

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. Now, with advanced AI models trained on decades of data and modern satellite imagery, companies like Zanskar can identify promising sites before committing to expensive drilling operations. Watch for additional discoveries as the company moves to validate its dozens of other identified locations, potentially reshaping the landscape of renewable energy production.

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