Utah FORGE: Seismic Velocity Models, February 2021
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:
We 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.
Reference: 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,
https://doi.org/10.1093/gji/ggab049
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Kristine Pankow",
"@type": "vcard:Contact",
"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: We 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. Reference: 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, https://doi.org/10.1093/gji/ggab049 |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Map of Seismic Monitoring Stations.png",
"format": "png",
"accessURL": "https://gdr.openei.org/files/1294/Screen%20Shot%202021-02-11%20at%203.20.40%20PM.png",
"mediaType": "image/png",
"description": "This is a map of the Utah FORGE seismic monitoring stations."
},
{
"@type": "dcat:Distribution",
"title": "Vs Node Coordinates.lst",
"format": "lst",
"accessURL": "https://gdr.openei.org/files/1294/Vs_nodes_coord.lst",
"mediaType": "application/octet-stream",
"description": "This file contains the longitude and latitude coordinates for the 61 1-D seismic velocity models"
},
{
"@type": "dcat:Distribution",
"title": "Vs Profiles.tar",
"format": "tar",
"accessURL": "https://gdr.openei.org/files/1294/Vs_profiles.tar",
"mediaType": "application/octet-stream",
"description": "This is a compressed tar file containing 61 1-D seismic velocity models."
}
]
|
| DOI | 10.15121/1776592 |
| identifier | https://data.openei.org/submissions/7412 |
| issued | 2021-02-28T07:00:00Z |
| keyword |
[
"1D seismic velocity",
"Bayesian Monte Carlo inversion",
"EGS",
"FORGE",
"Milford",
"Roosevelt Hot Springs",
"SPAC",
"TAR",
"Utah",
"Utah FORGE",
"Utah geothermal",
"distributed acoustic sensing",
"energy",
"geophone",
"geophysics",
"geospatial data",
"geothermal",
"model",
"modeling",
"pseudo-3D",
"sedimentary basin",
"seismic",
"seismic data",
"seismic noise",
"seismic velocity",
"spatial auto-correlation",
"velocity",
"velocity models",
"waveform inversion"
]
|
| 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 |
{
"name": "Energy and Geoscience Institute at the University of Utah",
"@type": "org:Organization"
}
|
| 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 |
