{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["019:20"], "contactPoint": {"@type": "vcard:Contact", "fn": "Noam Z. Dvory", "hasEmail": "mailto:nzd@egi.utah.edu"}, "dataQuality": true, "description": "This catalog contains microseismic event locations recorded during the April 2024 stimulation at the Utah FORGE site. Events were detected and located using a phase-picking workflow that integrates downhole geophones (wells 56 and 78B) and downhole DAS (well 16B). P- and S-wave arrivals were automatically picked using PhaseNet. Phase association was performed using GaMMA, and event locations were computed using ADLoc with 200 bootstrap realizations (90% pick resampling per run). The highest-probability location was selected as the final event location, and spatial standard deviations were adopted as location uncertainties. Event magnitudes were estimated using a local magnitude formulation derived from GES (Geo Energy Suisse) catalog magnitudes and maximum DAS strain rate measurements. Both the microseismic event catalog and associated conference paper are provided here.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1817/Microseismic%20Location%20in%20EGS%20Comparing%20picking-based%20and%20source-imaging%20workflows%20on%20downhole%20DAS%20data.pdf", "description": "This paper, \"Microseismic Location in EGS: Comparing picking-based and source-imaging workflows on downhole DAS data\", from the 2026 Stanford Geothermal Workshop discusses methodology and visualizes the results associated with this microseismic catalog, and includes a comparison to the GES results.", "format": "pdf", "mediaType": "application/pdf", "title": "Conference Paper.pdf"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1817/Utah_FORGE_2024_Auto_Pick_catalog_2026.1.23.csv", "description": "This file contains the catalog of automatically detected and located microseismic events. For each event, it records origin time, hypocenter location (latitude, longitude, depth), estimated magnitude, pick counts, location quality metrics, and spatial uncertainty estimates derived from the location workflow.", "format": "csv", "mediaType": "text/csv", "title": "Microseismic Event Catalog.csv"}], "identifier": "https://data.openei.org/submissions/8628", "issued": "2026-02-19T07:00:00Z", "keyword": ["geothermal", "energy", "April 2024 stimulation", "FORGE", "Utah", "microseismic event locations", "Utah FORGE", "University of Utah", "seismic", "AI", "machine learning", "data-driven decisions", "community saftey", "infrastructure protection", "proactive risk mitigation", "improved saftey", "immediate response", "stimulation", "fracing", "ground motion", "seismic hazards", "EGS", "event catalog", "ML", "processed data", "reservoir characterization", "hydraulic fracturing", "geomechanics", "geophysics"], "landingPage": "https://gdr.openei.org/submissions/1817", "license": "https://creativecommons.org/licenses/by/4.0/", "modified": "2026-02-23T20:06:14Z", "programCode": ["019:006"], "projectLead": "Lauren Boyd", "projectNumber": "EE0007080", "projectTitle": "Utah FORGE", "publisher": {"@type": "org:Organization", "name": "University Of Utah"}, "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-112.916367,38.483935],[-112.879748,38.483935],[-112.879748,38.5148],[-112.916367,38.5148],[-112.916367,38.483935]]]}", "title": "Utah FORGE: Phase-Picking Based Microseismic Event Catalog - April 2024 Stimulation"}