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Abstract Fracture networks directly govern the efficiency of geothermal energy extraction and play a critical role in fluid migration and microearthquake generation. Using deep learning and Markov clustering, we build a high-resolution microseismic catalog covering the past decade for The Geysers geothermal field, California. Our observations reveal distinctive clustering patterns and inferred fracture systems tightly correlated with injection operations.
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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
