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<\/figure>\n\n\n\nThis is where AI comes in. Zanskar has developed models capable of analyzing geological data, satellite images, seismic information, and tectonic faults, combining them to identify \"blind spots\": areas where there might be accessible heat and enough space in the rocks for fluids to circulate.<\/p>\n\n\n\n
In other words, AI draws a probable map of the subsurface without having to drill into it first.<\/p>\n\n\n\n
A few months ago, this technology yielded its first major result. Zanskar announced that in a completely unexplored area of the Nevada desert, its system had detected a possible hot reservoir. Subsequent drilling confirmed temperatures exceeding 121\u00b0C (250\u00b0F) at a depth of just 820 meters.<\/p>\n\n\n\n
This location has been dubbed Big Blind, and it represents the first geothermal discovery in a previously unexplored area achieved thanks to AI.<\/p>\n\n\n\n
If the final assessment is positive, the next step will be to obtain permits to build the plant and connect it to the electrical grid. Everything indicates that it could become a stable source of renewable energy in a place where no one would have imagined it.<\/p>\n\n\n\n
Why is this breakthrough so important? Because it completely changes the equation.<\/p>\n\n\n\n
If AI can identify hidden hotspots, then geothermal energy could expand to regions where it was never considered viable. This would mean:<\/p>\n\n\n\n
. More renewable energy plants distributed around the world,<\/p>\n\n\n\n
. Less dependence on fossil fuels,<\/p>\n\n\n\n
. A continuous source of energy, very different from the variability of solar and wind power.<\/p>\n\n\n\n
Furthermore, each new discovery reduces exploration costs and refines predictive models, creating a virtuous cycle that can accelerate the energy transition.<\/p>\n\n\n\n
This is undoubtedly a breakthrough that could redefine the future of geothermal energy and open the door to broader, more efficient, and safer exploitation of our planet's deep heat.<\/p>\n\n\n\n