Utah FORGE: Seismic Velocity Models, February 2021

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 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

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Additional Info

DOE Project Name: Utah FORGE
DOE Project Number: EE0007080
DOE Project Lead: Lauren Boyd
DOI: 10.15121/1776592
Last Updated: 9 days ago
Feb
2021
Data from February, 2021
Submitted Mar 18, 2021

Contact

Energy and Geoscience Institute at the University of Utah


801.585.6484

Status

Publicly accessible License 

Authors

Kristine Pankow
University of Utah Seismograph Stations

Keywords

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

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