Final Technical Report

As proposed, the main effort in this project is the development of software capable of performing real-time monitoring of micro-seismic activity recorded by an array of sensors deployed around an EGS. The main milestones are defined by the development of software to perform the following tasks: • Re...

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Bibliographic Details
Main Authors: Rial, J.A., Lees, J.
Other Authors: United States. Department of Energy. Office of Geothermal Technologies.
Format: Report
Language:English
Published: J.A. Rial/University of North Carolina at Chapel Hill 2009
Subjects:
Online Access:https://doi.org/10.2172/982094
https://digital.library.unt.edu/ark:/67531/metadc1014268/
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spelling ftunivnotexas:info:ark/67531/metadc1014268 2023-05-15T16:48:11+02:00 Final Technical Report Rial, J.A. Lees, J. United States. Department of Energy. Office of Geothermal Technologies. 2009-03-31 3.1MB Text https://doi.org/10.2172/982094 https://digital.library.unt.edu/ark:/67531/metadc1014268/ English eng J.A. Rial/University of North Carolina at Chapel Hill rep-no: FINAL TECHNICAL REPORT grantno: FG36-04GO14290 doi:10.2172/982094 osti: 982094 https://digital.library.unt.edu/ark:/67531/metadc1014268/ ark: ark:/67531/metadc1014268 Orientation Fractures Testing Geothermal Fields Iceland Real-Time Fracture Monitoring Engineered Geothermal Systems Shear Wave Splitting Seismic Waves Polarization Detection Algorithms 15 Geothermal Energy Time Delay Real-Time Fracture Monitoring Shear Monitoring Report 2009 ftunivnotexas https://doi.org/10.2172/982094 2020-04-18T22:08:11Z As proposed, the main effort in this project is the development of software capable of performing real-time monitoring of micro-seismic activity recorded by an array of sensors deployed around an EGS. The main milestones are defined by the development of software to perform the following tasks: • Real-time micro-earthquake detection and location • Real-time detection of shear-wave splitting • Delayed-time inversion of shear-wave splitting These algorithms, which are discussed in detail in this report, make possible the automatic and real-time monitoring of subsurface fracture systems in geothermal fields from data collected by an array of seismic sensors. Shear wave splitting (SWS) is parameterized in terms of the polarization of the fast shear wave and the time delay between the fast and slow shear waves, which are automatically measured and stored. The measured parameters are then combined with previously measured SWS parameters at the same station and used to invert for the orientation (strike and dip) and intensity of cracks under that station. In addition, this grant allowed the collection of seismic data from several geothermal regions in the US (Coso) and Iceland (Hengill) to use in the development and testing of the software. Report Iceland University of North Texas: UNT Digital Library Hengill ENVELOPE(-21.306,-21.306,64.078,64.078)
institution Open Polar
collection University of North Texas: UNT Digital Library
op_collection_id ftunivnotexas
language English
topic Orientation
Fractures
Testing
Geothermal Fields
Iceland
Real-Time Fracture Monitoring
Engineered Geothermal Systems
Shear Wave Splitting
Seismic Waves
Polarization
Detection
Algorithms
15 Geothermal Energy
Time Delay Real-Time Fracture Monitoring
Shear
Monitoring
spellingShingle Orientation
Fractures
Testing
Geothermal Fields
Iceland
Real-Time Fracture Monitoring
Engineered Geothermal Systems
Shear Wave Splitting
Seismic Waves
Polarization
Detection
Algorithms
15 Geothermal Energy
Time Delay Real-Time Fracture Monitoring
Shear
Monitoring
Rial, J.A.
Lees, J.
Final Technical Report
topic_facet Orientation
Fractures
Testing
Geothermal Fields
Iceland
Real-Time Fracture Monitoring
Engineered Geothermal Systems
Shear Wave Splitting
Seismic Waves
Polarization
Detection
Algorithms
15 Geothermal Energy
Time Delay Real-Time Fracture Monitoring
Shear
Monitoring
description As proposed, the main effort in this project is the development of software capable of performing real-time monitoring of micro-seismic activity recorded by an array of sensors deployed around an EGS. The main milestones are defined by the development of software to perform the following tasks: • Real-time micro-earthquake detection and location • Real-time detection of shear-wave splitting • Delayed-time inversion of shear-wave splitting These algorithms, which are discussed in detail in this report, make possible the automatic and real-time monitoring of subsurface fracture systems in geothermal fields from data collected by an array of seismic sensors. Shear wave splitting (SWS) is parameterized in terms of the polarization of the fast shear wave and the time delay between the fast and slow shear waves, which are automatically measured and stored. The measured parameters are then combined with previously measured SWS parameters at the same station and used to invert for the orientation (strike and dip) and intensity of cracks under that station. In addition, this grant allowed the collection of seismic data from several geothermal regions in the US (Coso) and Iceland (Hengill) to use in the development and testing of the software.
author2 United States. Department of Energy. Office of Geothermal Technologies.
format Report
author Rial, J.A.
Lees, J.
author_facet Rial, J.A.
Lees, J.
author_sort Rial, J.A.
title Final Technical Report
title_short Final Technical Report
title_full Final Technical Report
title_fullStr Final Technical Report
title_full_unstemmed Final Technical Report
title_sort final technical report
publisher J.A. Rial/University of North Carolina at Chapel Hill
publishDate 2009
url https://doi.org/10.2172/982094
https://digital.library.unt.edu/ark:/67531/metadc1014268/
long_lat ENVELOPE(-21.306,-21.306,64.078,64.078)
geographic Hengill
geographic_facet Hengill
genre Iceland
genre_facet Iceland
op_relation rep-no: FINAL TECHNICAL REPORT
grantno: FG36-04GO14290
doi:10.2172/982094
osti: 982094
https://digital.library.unt.edu/ark:/67531/metadc1014268/
ark: ark:/67531/metadc1014268
op_doi https://doi.org/10.2172/982094
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