{"@type": "dcat:Dataset", "DOI": "10.15121/1776592", "accessLevel": "public", "bureauCode": ["019:20"], "contactPoint": {"@type": "vcard:Contact", "fn": "Kristine Pankow", "hasEmail": "mailto:pankow@seis.utah.edu"}, "dataQuality": true, "description": "This dataset contains a map, showing the Utah FORGE seismic stations, and seismic velocity model data. There are 61 1-D velocity models which are in a compressed TAR file. A paper is referenced at the end of this description which discusses the use of these data in 3D modelling. The paper summary follows:\n\nWe expand the application of spatial autocorrelation (SPAC) from typical 1-D Vs profiles to quasi-3-D imaging via Bayesian Monte Carlo inversion (BMCI) using a dense nodal array (49 nodes) located at the Utah Frontier Observatory for Research in Geothermal Energy (FORGE) site. Combinations of 4 and 9 geophones in subarrays provide for 36 and 25 1-D Vs profiles, respectively. Profiles with error bars are determined by calculating coherency functions that fit observations in a frequency range of 0.2-5 Hz. Thus, a high-resolution quasi-3-D Vs model from the surface to 2.0 km depth is derived and shows that surface-parallel sedimentary strata deepen to the west, consistent with a 3-D seismic reflection survey. Moreover, the resulting Vs profile is consistent with a Vs profile derived from distributed acoustic sensing (DAS) data located in a borehole at the FORGE site. The quasi-3-D velocity model shows that the base of the basin dips ~22 degrees to the west and topography on the basement interface coincident with the Mag Lee Wash suggests that the bedrock interface is an unconformity.\n\nReference: Zhang, H. and K. L. Pankow (2021). High-resolution Bayesian spatial auto-correlation (SPAC) pseudo-3D Vs model of Utah FORGE site with a dense geophone array, Geophys. Res. Int, \nhttps://doi.org/10.1093/gji/ggab049", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1294/Screen%20Shot%202021-02-11%20at%203.20.40%20PM.png", "description": "This is a map of the Utah FORGE seismic monitoring stations.", "format": "png", "mediaType": "image/png", "title": "Map of Seismic Monitoring Stations.png"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1294/Vs_profiles.tar", "description": "This is a compressed tar file containing 61 1-D seismic velocity models.", "format": "tar", "mediaType": "application/octet-stream", "title": "Vs Profiles.tar"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1294/Vs_nodes_coord.lst", "description": "This file contains the longitude and latitude coordinates for the 61 1-D seismic velocity models", "format": "lst", "mediaType": "application/octet-stream", "title": "Vs Node Coordinates.lst"}], "identifier": "https://data.openei.org/submissions/7412", "issued": "2021-02-28T07:00:00Z", "keyword": ["geothermal", "energy", "seismic data", "1D seismic velocity", "seismic velocity", "Utah FORGE", "FORGE", "Utah geothermal", "velocity models", "seismic", "velocity", "SPAC", "spatial auto-correlation", "pseudo-3D", "geophone", "Bayesian Monte Carlo inversion", "modeling", "model", "distributed acoustic sensing", "geospatial data", "sedimentary basin", "waveform inversion", "seismic noise", "geophysics", "TAR", "EGS", "Roosevelt Hot Springs", "Utah", "Milford"], "landingPage": "https://gdr.openei.org/submissions/1294", "license": "https://creativecommons.org/licenses/by/4.0/", "modified": "2021-12-17T18:53:33Z", "programCode": ["019:006"], "projectLead": "Lauren Boyd", "projectNumber": "EE0007080", "projectTitle": "Utah FORGE", "publisher": {"@type": "org:Organization", "name": "Energy and Geoscience Institute at the 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: Seismic Velocity Models, February 2021"}