Newberry EGS Seismic Velocity Model

We use ambient noise correlation (ANC) to create a detailed image of the subsurface seismic velocity at the Newberry EGS site down to 5 km. We collected continuous data for the 22 stations in the Newberry network, together with 12 additional stations from the nearby CC, UO and UW networks. The data were instrument corrected, whitened and converted to single bit traces before cross correlation according to the methodology in Benson (2007). There are 231 unique paths connecting the 22 stations of the Newberry network. The additional networks extended that to 402 unique paths crossing beneath the Newberry site.
1 Resource

Related Datasets

Datasets associated with the same DOE project
  Submission Name Resources Submitted Status

Additional Info

DOE Project Number: FY13 AOP 25728
DOE Project Lead: Lauren Boyd
DOI: 10.15121/1148781
Last Updated: over a year ago
Data from October, 2013
Submitted Feb 4, 2014

Lawrence Livermore National Laboratory




This submission does not list any authors.


geothermal, EGS, velocity, reservoir, seismic velocity, cross-correlation, model


Publicly accessible License 


Submission Downloads