Utah FORGE: Seismic Velocity Models, February 2021

DOI 10.15121/1776592
Publicly accessible License 

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

Citation Formats

TY - DATA AB - 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 AU - Pankow, Kristine DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1776592 KW - geothermal KW - energy KW - seismic data KW - 1D seismic velocity KW - seismic velocity KW - Utah FORGE KW - FORGE KW - Utah geothermal KW - velocity models KW - seismic KW - velocity KW - SPAC KW - spatial auto-correlation KW - pseudo-3D KW - geophone KW - Bayesian Monte Carlo inversion KW - modeling KW - model KW - distributed acoustic sensing KW - geospatial data KW - sedimentary basin KW - waveform inversion KW - seismic noise KW - geophysics KW - TAR KW - EGS KW - Roosevelt Hot Springs KW - Utah KW - Milford LA - English DA - 2021/02/28 PY - 2021 PB - Energy and Geoscience Institute at the University of Utah T1 - Utah FORGE: Seismic Velocity Models, February 2021 UR - https://doi.org/10.15121/1776592 ER -
Export Citation to RIS
Pankow, Kristine. Utah FORGE: Seismic Velocity Models, February 2021. Energy and Geoscience Institute at the University of Utah, 28 February, 2021, Geothermal Data Repository. https://doi.org/10.15121/1776592.
Pankow, K. (2021). Utah FORGE: Seismic Velocity Models, February 2021. [Data set]. Geothermal Data Repository. Energy and Geoscience Institute at the University of Utah. https://doi.org/10.15121/1776592
Pankow, Kristine. Utah FORGE: Seismic Velocity Models, February 2021. Energy and Geoscience Institute at the University of Utah, February, 28, 2021. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1776592
@misc{GDR_Dataset_1294, title = {Utah FORGE: Seismic Velocity Models, February 2021}, author = {Pankow, Kristine}, abstractNote = {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}, url = {https://gdr.openei.org/submissions/1294}, year = {2021}, howpublished = {Geothermal Data Repository, Energy and Geoscience Institute at the University of Utah, https://doi.org/10.15121/1776592}, note = {Accessed: 2025-05-28}, doi = {10.15121/1776592} }
https://dx.doi.org/10.15121/1776592

Details

Data from Feb 28, 2021

Last updated Dec 17, 2021

Submitted Mar 18, 2021

Organization

Energy and Geoscience Institute at the University of Utah

Contact

Kristine Pankow

801.585.6484

Authors

Kristine Pankow

University of Utah Seismograph Stations

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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