Utah FORGE: Seismic Velocity Models, February 2021

Dataset · Sun Feb 28 04:00:00 EST 2021

DOI:https://doi.org/10.15121/1776592· OSTI ID:1776592

Pankow, Kristine ^[1]

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1. Energy and Geoscience Institute at the University of Utah

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

• Research Organization: DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
• Contributing Organization: Energy and Geoscience Institute at the University of Utah
• DOE Contract Number: EE0007080
• OSTI ID: 1776592
• Report Number(s): 1294
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

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