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Department of Energy
Dataset Description
This submission includes focal-mechanism solutions derived from the Utah FORGE April 2022 Stage-3 stimulation. Waveforms were extracted around each event (short windows bracketing origin times) from the downhole three-component arrays in wells 58-32, 78-32, and 56-32 and the surface station UU.FORK; an initial Stage-3 catalog of several thousand located events was narrowed to ~1,200 preselected events and processed to produce a final high-quality set of 717 focal mechanisms. Methods combined automated phase picking with a noise-resistant deep-learning polarity classifier, simple amplitude-ratio measurements around arrivals, and Bayesian moment-tensor inversion using MTfit. Polarities and amplitude ratios were weighted by per-measurement confidence, posterior ensembles were sampled to quantify uncertainty, and solutions with low angular uncertainty (Kagan angle < 20 degrees) form the distributed high-quality catalog.
Organization: Department of Energy
Organization URL: https://catalog.data.gov/organization/energy
Last updated: 2025-09-16T14:27:32Z
Tags: Bayesian inversion, EGS, FORGE, Kagan angle, MTfit, Milford, Utah, Utah FORGE, amplitude ratios, deep-learning, dip, energy, event catalog, focal-mechanisms, geophysical inversion, geophysics, geothermal, hydraulic stimulation, magnitude, moment-tensor inversion, stage 3, strike