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Improved Microseismicity Detection During Newberry EGS Stimulations
OwnerNational Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updatedabout 1 year ago
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Overview

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.

EGSNGDS Content ModelNewberryUSGIN Content Modeldetectionfracturegeothermalhydrualicinduced seismicitymeasurementmicroearthquakemicroseismicitymonitoringreservoirseismicitystimulation
Additional Information
KeyValue
dcat_issued2013-11-01T06:00:00Z
dcat_modified2019-11-14T22:45:25Z
dcat_publisher_nameLawrence Livermore National Laboratory
guidhttps://data.openei.org/submissions/3124
ib1_trust_framework[]
language
Files
  • XLS
    Newberry Earthquake Catalog.xls
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