Utah FORGE: Seismic Velocity Models, February 2021

Pankow, Kristine

doi:10.15121/1776592

Title: Utah FORGE: Seismic Velocity Models, February 2021

Dataset
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Abstract

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 themore »« less

Authors:

Pankow, Kristine

Energy and Geoscience Institute at the University of Utah

Publication Date:: Sun Feb 28 04:00:00 UTC 2021

Other Number(s):: 1294

DOE Contract Number:: EE0007080

Research Org.:: DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: Energy and Geoscience Institute at the University of Utah

Subject:: 15 GEOTHERMAL ENERGY; 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

OSTI Identifier:: 1776592

DOI:: https://doi.org/10.15121/1776592

Citation Formats


                    Pankow, Kristine. Utah FORGE: Seismic Velocity Models, February 2021.  United States: N. p., 2021. 
        Web.  doi:10.15121/1776592.

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                    Pankow, Kristine. Utah FORGE: Seismic Velocity Models, February 2021.  United States.  doi:https://doi.org/10.15121/1776592

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                    Pankow, Kristine. 2021.  
"Utah FORGE: Seismic Velocity Models, February 2021".  United States.  doi:https://doi.org/10.15121/1776592.  https://www.osti.gov/servlets/purl/1776592. Pub date:Sun Feb 28 04:00:00 UTC 2021

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@article{osti_1776592,

  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},

  doi          = {10.15121/1776592},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Feb 28 04:00:00 UTC 2021},

  month        = {Sun Feb 28 04:00:00 UTC 2021}

}

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DOI: https://doi.org/10.15121/1776592

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