Improved Microseismicity Detection During Newberry EGS Stimulations

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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.

Citation Formats

TY - DATA AB - 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. AU - Templeton, Dennise DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1148810 KW - geothermal KW - EGS KW - seismicity KW - microseismicity KW - stimulation KW - fracture KW - reservoir KW - earthquakes KW - monitoring KW - microseismic KW - seismic KW - Newberry LA - English DA - 2013/10/01 PY - 2013 PB - Lawrence Livermore National Laboratory T1 - Improved Microseismicity Detection During Newberry EGS Stimulations UR - https://doi.org/10.15121/1148810 ER -
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Templeton, Dennise. Improved Microseismicity Detection During Newberry EGS Stimulations. Lawrence Livermore National Laboratory, 1 October, 2013, Geothermal Data Repository. https://doi.org/10.15121/1148810.
Templeton, D. (2013). Improved Microseismicity Detection During Newberry EGS Stimulations. [Data set]. Geothermal Data Repository. Lawrence Livermore National Laboratory. https://doi.org/10.15121/1148810
Templeton, Dennise. Improved Microseismicity Detection During Newberry EGS Stimulations. Lawrence Livermore National Laboratory, October, 1, 2013. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1148810
@misc{GDR_Dataset_249, 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.}, url = {https://gdr.openei.org/submissions/249}, year = {2013}, howpublished = {Geothermal Data Repository, Lawrence Livermore National Laboratory, https://doi.org/10.15121/1148810}, note = {Accessed: 2025-05-07}, doi = {10.15121/1148810} }
https://dx.doi.org/10.15121/1148810

Details

Data from Oct 1, 2013

Last updated Nov 14, 2019

Submitted Oct 1, 2013

Organization

Lawrence Livermore National Laboratory

Contact

Dennise Templeton

925.422.2021

Authors

Dennise Templeton

Lawrence Livermore National Laboratory

DOE Project Details

Project Lead Lauren Boyd

Project Number FY13 AOP 25728

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