Abstract
Real-time, automatic microearthquake detection and location provides crucial information on fracture growth during stimulation and is planned for the second phase of the EGS Collab stimulation experiments. We study the feasibility of real-time detection and location of microearthquake events for the sensor distribution in the EGS Collab Experiment I, using eighteen 3C accelerometers. We pre-compute a microearthquake waveform database for a 43 x 43 x 43 grid with a grid interval of 1 m using an anisotropic elastic-wave modeling tool. We then compute correlation coefficients between recorded seismograms and those in the waveform database using a moving time window and search for the highest correction coefficients to detect and locate microearthquake events simultaneously. Toward real-time monitoring, we employ a multiscale event scanning method that requires only 0.03% of the computation cost of the global search for 43 x 43 x 43 grid points and every scanning time step, making real-time detection and location feasible. We verify the feasibility of our multiscale microearthquake event detection and location for real-time monitoring using noise-free and noisy synthetic microearthquake data for the sensor distribution in the EGS Collab Experiment I.
Original language | English |
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Title of host publication | Geothermal's Role in Today's Energy Market - Geothermal Resources Council 2018 Annual Meeting, GRC 2018 |
Publisher | Geothermal Resources Council |
Pages | 695-707 |
Number of pages | 13 |
ISBN (Electronic) | 0934412235 |
State | Published - 2018 |
Event | Geothermal Resources Council 2018 Annual Meeting: Geothermal's Role in Today's Energy Market, GRC 2018 - Reno, United States Duration: Oct 14 2018 → Oct 17 2018 |
Publication series
Name | Transactions - Geothermal Resources Council |
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Volume | 42 |
ISSN (Print) | 0193-5933 |
Conference
Conference | Geothermal Resources Council 2018 Annual Meeting: Geothermal's Role in Today's Energy Market, GRC 2018 |
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Country/Territory | United States |
City | Reno |
Period | 10/14/18 → 10/17/18 |
Funding
This material was based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE), Office of Technology Development, Geothermal Technologies Office, under Award Number DE-AC52-06NA25396 to Los Alamos National Laboratory (LANL). The United States Government retains, and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The computation was performed using super-computers of LANL’s Institutional Computing Program. This material was based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE), Office of Technology Development, Geothermal Technologies Office, under Award Number DE-AC52-06NA25396 to Los Alamos National Laboratory (LANL). The United States Government retains, and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The computation was performed using super-computers of LANL's Institutional Computing Program.
Keywords
- Anisotropic media
- Correlation coefficient
- Detection
- EGS stimulation
- Enhanced Geothermal Systems
- Location
- MEQ
- MEQ
- Multiscale
- Real-time