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High-resolution Bayesian spatial autocorrelation (SPAC) quasi-3-D Vs model of Utah FORGE site with a dense geophone array

Journal Article · · Geophysical Journal International
DOI:https://doi.org/10.1093/gji/ggab049· OSTI ID:1770615
 [1];  [1]
  1. University of Utah Seismograph Stations, University of Utah, Salt Lake City, UT 84112, USA
SUMMARY

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° to the west and topography on the basement interface coincident with the Mag Lee Wash suggests that the bedrock interface is an unconformity.

Research Organization:
Univ. of Utah, Salt Lake City, UT (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
EE0007080
OSTI ID:
1770615
Alternate ID(s):
OSTI ID: 1848473
Journal Information:
Geophysical Journal International, Journal Name: Geophysical Journal International Journal Issue: 3 Vol. 225; ISSN 0956-540X
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
United Kingdom
Language:
English

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