High-resolution Bayesian spatial autocorrelation (SPAC) quasi-3-D Vs model of Utah FORGE site with a dense geophone array.
In: Geophysical Journal International, Jg. 225 (2021-06-01), Heft 3, S. 1605-1615
Online
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Zugriff:
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. [ABSTRACT FROM AUTHOR]
Titel: |
High-resolution Bayesian spatial autocorrelation (SPAC) quasi-3-D Vs model of Utah FORGE site with a dense geophone array.
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Autor/in / Beteiligte Person: | Zhang, Hao ; L. Pankow, Kristine |
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Zeitschrift: | Geophysical Journal International, Jg. 225 (2021-06-01), Heft 3, S. 1605-1615 |
Veröffentlichung: | 2021 |
Medientyp: | academicJournal |
ISSN: | 0956-540X (print) |
DOI: | 10.1093/gji/ggab049 |
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