Newberry EGS Seismic Velocity Model

Templeton, Dennise

doi:10.15121/1148781

Title: Newberry EGS Seismic Velocity Model

Dataset
Other Related Research

Abstract

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.

Authors:

Templeton, Dennise

Lawrence Livermore National Laboratory

Publication Date:: 2013-10-01

Other Number(s):: 282

Research Org.:: DOE Geothermal Data Repository; Lawrence Livermore National Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)

Collaborations:: Lawrence Livermore National Laboratory

Subject:: 15 GEOTHERMAL ENERGY; EGS; Newberry; cross-correlation; geophysics; geothermal; model; reservoir; seismic velocity; velocity

OSTI Identifier:: 1148781

DOI:: https://doi.org/10.15121/1148781

Citation Formats


                    Templeton, Dennise. Newberry EGS Seismic Velocity Model.  United States: N. p., 2013. 
        Web.  doi:10.15121/1148781.

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                    Templeton, Dennise. Newberry EGS Seismic Velocity Model.  United States.  doi:https://doi.org/10.15121/1148781

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                    Templeton, Dennise. 2013.  
"Newberry EGS Seismic Velocity Model".  United States.  doi:https://doi.org/10.15121/1148781.  https://www.osti.gov/servlets/purl/1148781. Pub date:Tue Oct 01 00:00:00 EDT 2013

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@article{osti_1148781,

  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.},

  doi          = {10.15121/1148781},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2013},

  month        = {10}

}

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DOI: https://doi.org/10.15121/1148781

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