Improved Microseismicity Detection During Newberry EGS Stimulations
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 -
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
Keywords
geothermal, EGS, seismicity, microseismicity, stimulation, fracture, reservoir, earthquakes, monitoring, microseismic, seismic, NewberryDOE Project Details
Project Lead Lauren Boyd
Project Number FY13 AOP 25728