Summer Intern Report: Multiple-Event Seismic Location Using Bayesian Inversion: Case Study Using Newberry Enhanced Geothermal System Data

Zhang, Zhishuai

doi:10.2172/1438634

Title: Summer Intern Report: Multiple-Event Seismic Location Using Bayesian Inversion: Case Study Using Newberry Enhanced Geothermal System Data

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Abstract

The central idea of the method used in the work is representing all the information we have using probability densities and then using inversion method to infer the A posteriori probability density of the model parameters we would like to know from all these information we have. This information includes forward model (the assumption we made on the problem and the theory we use for arrival time calculation), observations (arrival time), and A prior information on the model parameters (all other information we have on model parameters before the inversion).

Authors:

Zhang, Zhishuai ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Publication Date:: Tue Feb 17 00:00:00 EST 2015

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1438634

Report Number(s):: LLNL-TR-667352

DOE Contract Number:: AC52-07NA27344

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 58 GEOSCIENCES

Citation Formats


                    Zhang, Zhishuai. Summer Intern Report: Multiple-Event Seismic Location Using Bayesian Inversion: Case Study Using Newberry Enhanced Geothermal System Data.  United States: N. p., 2015. 
        Web.  doi:10.2172/1438634.

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                    Zhang, Zhishuai. Summer Intern Report: Multiple-Event Seismic Location Using Bayesian Inversion: Case Study Using Newberry Enhanced Geothermal System Data.  United States.  https://doi.org/10.2172/1438634

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                    Zhang, Zhishuai. 2015.  
        "Summer Intern Report: Multiple-Event Seismic Location Using Bayesian Inversion: Case Study Using Newberry Enhanced Geothermal System Data".  United States.  https://doi.org/10.2172/1438634.  https://www.osti.gov/servlets/purl/1438634.

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@article{osti_1438634,

  title        = {Summer Intern Report: Multiple-Event Seismic Location Using Bayesian Inversion: Case Study Using Newberry Enhanced Geothermal System Data},

  author       = {Zhang, Zhishuai},

  abstractNote = {The central idea of the method used in the work is representing all the information we have using probability densities and then using inversion method to infer the A posteriori probability density of the model parameters we would like to know from all these information we have. This information includes forward model (the assumption we made on the problem and the theory we use for arrival time calculation), observations (arrival time), and A prior information on the model parameters (all other information we have on model parameters before the inversion).},

  doi          = {10.2172/1438634},

  url          = {https://www.osti.gov/biblio/1438634},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Feb 17 00:00:00 EST 2015},

  month        = {Tue Feb 17 00:00:00 EST 2015}

}

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https://doi.org/10.2172/1438634

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