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.
Citation Formats
TY - DATA
AB - 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.
AU - Templeton, Dennise
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1148781
KW - geothermal
KW - EGS
KW - velocity
KW - reservoir
KW - seismic velocity
KW - cross-correlation
KW - model
KW - geophysics
KW - Newberry
LA - English
DA - 2013/10/01
PY - 2013
PB - Lawrence Livermore National Laboratory
T1 - Newberry EGS Seismic Velocity Model
UR - https://doi.org/10.15121/1148781
ER -
Templeton, Dennise. Newberry EGS Seismic Velocity Model. Lawrence Livermore National Laboratory, 1 October, 2013, GDR. https://doi.org/10.15121/1148781.
Templeton, D. (2013). Newberry EGS Seismic Velocity Model. [Data set]. GDR. Lawrence Livermore National Laboratory. https://doi.org/10.15121/1148781
Templeton, Dennise. Newberry EGS Seismic Velocity Model. Lawrence Livermore National Laboratory, October, 1, 2013. Distributed by GDR. https://doi.org/10.15121/1148781
@misc{OEDI_Dataset_6620,
title = {Newberry EGS Seismic Velocity Model},
author = {Templeton, Dennise},
abstractNote = {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. },
url = {https://gdr.openei.org/submissions/282},
year = {2013},
howpublished = {GDR, Lawrence Livermore National Laboratory, https://doi.org/10.15121/1148781},
note = {Accessed: 2025-05-20},
doi = {10.15121/1148781}
}
https://dx.doi.org/10.15121/1148781
Details
Data from Oct 1, 2013
Last updated Nov 14, 2019
Submitted Feb 5, 2014
Organization
Lawrence Livermore National Laboratory
Contact
Dennise Templeton
925.422.2021
Authors
Original Source
https://gdr.openei.org/submissions/282Research Areas
Keywords
geothermal, EGS, velocity, reservoir, seismic velocity, cross-correlation, model, geophysics, NewberryDOE Project Details
Project Lead Lauren Boyd
Project Number FY13 AOP 25728
