Machine Learning Links Microquakes to Improved Geothermal Energy Extraction
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Using machine learning, researchers found a link between microearthquakes and rock permeability, which impacts geothermal energy extraction efficiency.
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The link was found using data from two geothermal sites. The machine learning model from one site successfully applied to the other site, suggesting the link is universally applicable.
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Increasing rock permeability through microearthquakes improves ability to extract geothermal energy while keeping quakes small enough to avoid damage.
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More available geothermal energy could reduce dependence on fossil fuels.
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Linking permeability to microquakes could also help monitor gas movement for carbon sequestration and hydrogen production/storage.