EGS Collab Experiment 2: Microseismic Monitoring
Abstract
This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to study and validate models of geothermal systems by injecting high-pressure fluids into rock formations 1200-1500 meters below the surface, inducing microseismic events. The seismic monitoring system included 16 three-component accelerometers and a 24-channel hydrophone array, installed in boreholes surrounding the test area. Data were recorded at high sampling rates using a continuous waveform recording system to monitor seismic activity in real time. The dataset contains the raw data stored in binary format, with files named based on timestamps, and includes calibration certificates for some sensors to facilitate corrections to real units. Users are strongly advised to consult the accompanying detailed report, which outlines the experimental setup, sensor specifications, installation procedures, and data processing methods. The report also describes important nuances, such as the hardware filters on hydrophones, sensor calibration details, and the naming conventions for the recorded data. Proper use of this dataset may require familiarity with seismic data analysis tools, such as the Obspy Python package,more »
- Authors:
-
- Lawrence Berkeley National Laboratory
- Publication Date:
- Other Number(s):
- 1607
- Research Org.:
- DOE Geothermal Data Repository; Lawrence Berkeley National Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- Lawrence Berkeley National Laboratory
- Subject:
- 15 GEOTHERMAL ENERGY; 3C; EGS Collab; Obspy; SEED; SURF; accelerometer; binary; borehole array; circulation; continuous seismic; continuous waveform; energy; geophysics; geothermal; hydrophone; microseismic; microseismicity; raw data; stimulation; technical report; waveform
- OSTI Identifier:
- 2516752
- DOI:
- https://doi.org/10.15121/2516752
Citation Formats
Hopp, Chet. EGS Collab Experiment 2: Microseismic Monitoring. United States: N. p., 2024.
Web. doi:10.15121/2516752.
Hopp, Chet. EGS Collab Experiment 2: Microseismic Monitoring. United States. doi:https://doi.org/10.15121/2516752
Hopp, Chet. 2024.
"EGS Collab Experiment 2: Microseismic Monitoring". United States. doi:https://doi.org/10.15121/2516752. https://www.osti.gov/servlets/purl/2516752. Pub date:Tue May 28 00:00:00 EDT 2024
@article{osti_2516752,
title = {EGS Collab Experiment 2: Microseismic Monitoring},
author = {Hopp, Chet},
abstractNote = {This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to study and validate models of geothermal systems by injecting high-pressure fluids into rock formations 1200-1500 meters below the surface, inducing microseismic events. The seismic monitoring system included 16 three-component accelerometers and a 24-channel hydrophone array, installed in boreholes surrounding the test area. Data were recorded at high sampling rates using a continuous waveform recording system to monitor seismic activity in real time. The dataset contains the raw data stored in binary format, with files named based on timestamps, and includes calibration certificates for some sensors to facilitate corrections to real units. Users are strongly advised to consult the accompanying detailed report, which outlines the experimental setup, sensor specifications, installation procedures, and data processing methods. The report also describes important nuances, such as the hardware filters on hydrophones, sensor calibration details, and the naming conventions for the recorded data. Proper use of this dataset may require familiarity with seismic data analysis tools, such as the Obspy Python package, and an understanding of the SEED naming conventions used for channel identification.},
doi = {10.15121/2516752},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 28 00:00:00 EDT 2024},
month = {Tue May 28 00:00:00 EDT 2024}
}
