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Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources
Vincenzo Convertito1, Raffaella De Matteis2, Ortensia Amoroso3
1Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, Via Diocleziano 328, 80124, Napoli, Italy. vincenzo.convertito@ingv.it.
Scientific Reports
|July 25, 2022
Summary
Ground-motion prediction equations (GMPEs) can monitor subsurface reservoir changes during energy production. This novel approach uses seismic data to track physical property variations, aiding reservoir management.
Area of Science:
- Geophysics
- Seismology
- Energy Resources
Background:
- Subsurface operations like fluid injection alter crustal properties, including seismic velocity and anelastic attenuation.
- Monitoring these properties is vital for effective reservoir management in energy production.
Purpose of the Study:
- To introduce a novel application of ground-motion prediction equations (GMPEs) for monitoring large-scale reservoir property variations.
- To assess the feasibility of using GMPEs to track changes during fluid injection experiments.
Main Methods:
- Utilizing empirical ground-motion prediction equations (GMPEs) in an unconventional way.
- Analyzing peak-ground velocities from seismic events during field operations.
- Updating GMPE coefficients to infer changes in anelastic attenuation and seismic velocity.
Main Results:
- Demonstrated the effective use of GMPEs for monitoring reservoir property variations.
- Successfully applied the technique to geothermal fields in California and Switzerland.
- Showcased that GMPE variations correlate with physical property changes.
Conclusions:
- Ground-motion prediction equations (GMPEs) serve as a viable proxy for reservoir property monitoring.
- Induced seismicity recorded by dense networks can be leveraged for this purpose.
- This method offers a new tool for managing subsurface energy reservoirs.
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