S12A-04
Seismic Characterization of the Newberry and Cooper Basin EGS Sites

Monday, 14 December 2015: 11:05
305 (Moscone South)
Dennise C Templeton1, Jingbo Wang2, Meredith Goebel3, Gardar Johannesson4, Stephen C Myers4, David Harris5 and Trenton T Cladouhos6, (1)Lawrence Livermore National Lab, Livermore, CA, United States, (2)Australian National University, Canberra, Australia, (3)Stanford University, Stanford, CA, United States, (4)Lawrence Livermore National Laboratory, Livermore, CA, United States, (5)Deschutes Signal Processing, LLC, Maupin, OR, United States, (6)AltaRock Energy, Seattle, WA, United States
Abstract:
To aid in the seismic characterization of Engineered Geothermal Systems (EGS), we enhance traditional microearthquake detection and location methodologies at two EGS systems: the Newberry EGS site and the Habanero EGS site in the Cooper Basin of South Australia. We apply the Matched Field Processing (MFP) seismic imaging technique to detect new seismic events using known discrete microearthquake sources. Events identified using MFP typically have smaller magnitudes or occur within the coda of a larger event. Additionally, we apply a Bayesian multiple-event location algorithm, called MicroBayesLoc, to estimate the 95% probability ellipsoids for events with high signal-to-noise ratios (SNR). Such probability ellipsoid information can provide evidence for determining if a seismic lineation is real, or simply within the anticipated error range. At the Newberry EGS site, 235 events were reported in the original catalog. MFP identified 164 additional events (an increase of over 70% more events). For the relocated events in the Newberry catalog, we can distinguish two distinct seismic swarms that fall outside of one another’s 95% probability error ellipsoids.

This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.