EGS Collab Experiment 2: Microseismic Monitoring

Publicly accessible License 

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.

Continuous Active Source Seismic Monitoring

This is a link to an associated submission that contains a report and data collected for Continuous Active Source Seismic Monitoring (CASSM). That data was collected o... more

GDR Data Lake Registry on AWS

AWS public dataset program registry page for data released under the Department of Energy's (DOE) Geothermal Data Repository (GDR) Data Lake. The registry page contains... more

Microseismic Data in GDR Data Lake

This is a link to the data in the GDR Data Lake via an AWS S3 online data viewer. The data can also be access programmatically via the AWS CLI and tools like the boto3 ... more
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AWS CLI Access:  aws s3 ls --no-sign-request s3://gdr-data-lake/egs_collab/experiment_2/passive_seismic/

Microseismic Monitoring Report.pdf

Report detailing all aspects of the installation and collection of the data in this submission.
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Citation Formats

Lawrence Berkeley National Laboratory. (2024). EGS Collab Experiment 2: Microseismic Monitoring [data set]. Retrieved from https://dx.doi.org/10.15121/2516752.
Export Citation to RIS
Hopp, Chet. EGS Collab Experiment 2: Microseismic Monitoring. United States: N.p., 28 May, 2024. Web. doi: 10.15121/2516752.
Hopp, Chet. EGS Collab Experiment 2: Microseismic Monitoring. United States. https://dx.doi.org/10.15121/2516752
Hopp, Chet. 2024. "EGS Collab Experiment 2: Microseismic Monitoring". United States. https://dx.doi.org/10.15121/2516752. https://gdr.openei.org/submissions/1607.
@div{oedi_1607, 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}, url = {https://gdr.openei.org/submissions/1607}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {05}}
https://dx.doi.org/10.15121/2516752

Details

Data from May 28, 2024

Last updated Feb 14, 2025

Submitted Jan 23, 2025

Organization

Lawrence Berkeley National Laboratory

Contact

Chet Hopp

chopp@lbl.gov

Authors

Chet Hopp

Lawrence Berkeley National Laboratory

DOE Project Details

Project Name EGS Collab

Project Lead Lauren Boyd

Project Number EE0032708

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