Improved Microseismicity Detection During Newberry EGS Stimulations

Templeton, Dennise

doi:10.15121/1148783

Title: Improved Microseismicity Detection During Newberry EGS Stimulations

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Abstract

Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.

Authors:

Templeton, Dennise

Lawrence Livermore National Laboratory

Publication Date:: Fri Nov 01 00:00:00 EDT 2013

Other Number(s):: 281

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; NGDS Content Model; Newberry; USGIN Content Model; detection; fracture; geothermal; hydrualic; induced seismicity; measurement; microearthquake; microseismicity; monitoring; reservoir; seismicity; stimulation

OSTI Identifier:: 1148783

DOI:: https://doi.org/10.15121/1148783

Citation Formats


                    Templeton, Dennise. Improved Microseismicity Detection During Newberry EGS Stimulations.  United States: N. p., 2013. 
        Web.  doi:10.15121/1148783.

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                    Templeton, Dennise. Improved Microseismicity Detection During Newberry EGS Stimulations.  United States.  doi:https://doi.org/10.15121/1148783

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                    Templeton, Dennise. 2013.  
"Improved Microseismicity Detection During Newberry EGS Stimulations".  United States.  doi:https://doi.org/10.15121/1148783.  https://www.osti.gov/servlets/purl/1148783. Pub date:Fri Nov 01 00:00:00 EDT 2013

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@article{osti_1148783,

  title        = {Improved Microseismicity Detection During Newberry EGS Stimulations},

  author       = {Templeton, Dennise},

  abstractNote = {Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.},

  doi          = {10.15121/1148783},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Nov 01 00:00:00 EDT 2013},

  month        = {Fri Nov 01 00:00:00 EDT 2013}

}

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DOI: https://doi.org/10.15121/1148783

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