EGS Collab Experiment 1: Microseismic Monitoring
The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first experiment is being performed at the 4850 ft level of the Sanford Underground Research Facility (SURF), approximately 1.5 km below the surface at Lead, South Dakota.
Here we report on microseismic monitoring of repeated stimulation experiments and subsequent flow tests between two boreholes in the Poorman Formation. Stimulations were performed at several locations in the designated injection borehole at flow rates from 0.1 to 5 L/min over temporal durations from minutes to hours. Microseismic monitoring was performed using a dense 3D sensor array including two cemented hydrophone strings with 12 sensors at 1.75 m spacing accompanied by 18 3-C accelerometers, deployed in 6 monitoring boreholes, completely surrounding the stimulation region. Continuous records were obtained over a two-month period using a novel dual recording system consisting of a conventional 96 channel exploration seismograph and a high-performance 64 channel digitizer sampling sensors at 4 and 100 kHz respectively.
Using a standard STA/LTA triggering algorithm, we detected thousands of microseismic events with recorded energy in a frequency range generally above 3 kHz and up to 40 kHz. The locations of these events are consistent with creation of a hydraulic fracture and additional reactivation of pre-existing structures. Using manual pick refinement and double-difference relocation we are able to track the fracture growth to high precision. We estimate the times and locations of the fracture intersecting a monitoring and the production borehole using microseismic events. They are in excellent agreement with independent measurements using distributed temperature sensing, in-situ strain observations and measurements of conductivity changes.
This submission includes a microearthquake catalog, raw event files, a subset of the continuous microseismic monitoring data collected during stimulations and flow test activity on 05/22/2018, 05/23/2018, 05/24/2018, 05/25/2018, 06/25/2018, 07/19/2018, 07/20/2018, 12/7/2018, 12/20/2018, and 12/21/2018 (in binary format), and a binary file interpreter to read the continuous microseismic monitoring data. A Stanford Geothermal Workshop paper is also included to describe microseismic monitoring activities at SURF during these periods.
Citation Formats
TY - DATA
AB - The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first experiment is being performed at the 4850 ft level of the Sanford Underground Research Facility (SURF), approximately 1.5 km below the surface at Lead, South Dakota.
Here we report on microseismic monitoring of repeated stimulation experiments and subsequent flow tests between two boreholes in the Poorman Formation. Stimulations were performed at several locations in the designated injection borehole at flow rates from 0.1 to 5 L/min over temporal durations from minutes to hours. Microseismic monitoring was performed using a dense 3D sensor array including two cemented hydrophone strings with 12 sensors at 1.75 m spacing accompanied by 18 3-C accelerometers, deployed in 6 monitoring boreholes, completely surrounding the stimulation region. Continuous records were obtained over a two-month period using a novel dual recording system consisting of a conventional 96 channel exploration seismograph and a high-performance 64 channel digitizer sampling sensors at 4 and 100 kHz respectively.
Using a standard STA/LTA triggering algorithm, we detected thousands of microseismic events with recorded energy in a frequency range generally above 3 kHz and up to 40 kHz. The locations of these events are consistent with creation of a hydraulic fracture and additional reactivation of pre-existing structures. Using manual pick refinement and double-difference relocation we are able to track the fracture growth to high precision. We estimate the times and locations of the fracture intersecting a monitoring and the production borehole using microseismic events. They are in excellent agreement with independent measurements using distributed temperature sensing, in-situ strain observations and measurements of conductivity changes.
This submission includes a microearthquake catalog, raw event files, a subset of the continuous microseismic monitoring data collected during stimulations and flow test activity on 05/22/2018, 05/23/2018, 05/24/2018, 05/25/2018, 06/25/2018, 07/19/2018, 07/20/2018, 12/7/2018, 12/20/2018, and 12/21/2018 (in binary format), and a binary file interpreter to read the continuous microseismic monitoring data. A Stanford Geothermal Workshop paper is also included to describe microseismic monitoring activities at SURF during these periods.
AU - Schoenball, Martin
A2 - Ajo-Franklin, Jonathan
A3 - Robertson, Michelle
A4 - Wood, Todd
A5 - Blankenship, Doug
A6 - Cook, Paul
A7 - Dobson, Patrick
A8 - Guglielmi, Yves
A9 - Fu, Pengcheng
A10 - Kneafsey, Timothy
A11 - Knox, Hunter
A12 - Petrov, Petr
A13 - Schwering, Paul
A14 - Rempleton, Dennise
A15 - Ulrich, Craig
A16 - Li, Jiaxuan
A17 - Huang, Lianjie
A18 - Chi, Benxin
A19 - Hopp, Chet
A20 - EGS Collab Team, The
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1557417
KW - geothermal
KW - energy
KW - EGS Collab
KW - SURF
KW - hydraulic
KW - fracturing
KW - stimulation
KW - Sanford Underground Research Facility
KW - experiment
KW - EGS
KW - microseismic monitoring
KW - meso-scale stimulations
KW - Sandford Underground Research
KW - mesoscale experiments
KW - crystalline rock
KW - 3D sensor
KW - Lead
KW - South Dakota
KW - STA/LTA triggering algorithm
KW - microseismicity
KW - catalog
KW - raw data
KW - processed data
KW - binary file interpreter
KW - Python
KW - geospatial data
LA - English
DA - 2019/07/29
PY - 2019
PB - Lawrence Berkeley National Laboratory
T1 - EGS Collab Experiment 1: Microseismic Monitoring
UR - https://doi.org/10.15121/1557417
ER -
Schoenball, Martin, et al. EGS Collab Experiment 1: Microseismic Monitoring. Lawrence Berkeley National Laboratory, 29 July, 2019, Geothermal Data Repository. https://doi.org/10.15121/1557417.
Schoenball, M., Ajo-Franklin, J., Robertson, M., Wood, T., Blankenship, D., Cook, P., Dobson, P., Guglielmi, Y., Fu, P., Kneafsey, T., Knox, H., Petrov, P., Schwering, P., Rempleton, D., Ulrich, C., Li, J., Huang, L., Chi, B., Hopp, C., & EGS Collab Team, T. (2019). EGS Collab Experiment 1: Microseismic Monitoring. [Data set]. Geothermal Data Repository. Lawrence Berkeley National Laboratory. https://doi.org/10.15121/1557417
Schoenball, Martin, Jonathan Ajo-Franklin, Michelle Robertson, Todd Wood, Doug Blankenship, Paul Cook, Patrick Dobson, Yves Guglielmi, Pengcheng Fu, Timothy Kneafsey, Hunter Knox, Petr Petrov, Paul Schwering, Dennise Rempleton, Craig Ulrich, Jiaxuan Li, Lianjie Huang, Benxin Chi, Chet Hopp, and The EGS Collab Team. EGS Collab Experiment 1: Microseismic Monitoring. Lawrence Berkeley National Laboratory, July, 29, 2019. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1557417
@misc{GDR_Dataset_1166,
title = {EGS Collab Experiment 1: Microseismic Monitoring},
author = {Schoenball, Martin and Ajo-Franklin, Jonathan and Robertson, Michelle and Wood, Todd and Blankenship, Doug and Cook, Paul and Dobson, Patrick and Guglielmi, Yves and Fu, Pengcheng and Kneafsey, Timothy and Knox, Hunter and Petrov, Petr and Schwering, Paul and Rempleton, Dennise and Ulrich, Craig and Li, Jiaxuan and Huang, Lianjie and Chi, Benxin and Hopp, Chet and EGS Collab Team, The},
abstractNote = {The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first experiment is being performed at the 4850 ft level of the Sanford Underground Research Facility (SURF), approximately 1.5 km below the surface at Lead, South Dakota.
Here we report on microseismic monitoring of repeated stimulation experiments and subsequent flow tests between two boreholes in the Poorman Formation. Stimulations were performed at several locations in the designated injection borehole at flow rates from 0.1 to 5 L/min over temporal durations from minutes to hours. Microseismic monitoring was performed using a dense 3D sensor array including two cemented hydrophone strings with 12 sensors at 1.75 m spacing accompanied by 18 3-C accelerometers, deployed in 6 monitoring boreholes, completely surrounding the stimulation region. Continuous records were obtained over a two-month period using a novel dual recording system consisting of a conventional 96 channel exploration seismograph and a high-performance 64 channel digitizer sampling sensors at 4 and 100 kHz respectively.
Using a standard STA/LTA triggering algorithm, we detected thousands of microseismic events with recorded energy in a frequency range generally above 3 kHz and up to 40 kHz. The locations of these events are consistent with creation of a hydraulic fracture and additional reactivation of pre-existing structures. Using manual pick refinement and double-difference relocation we are able to track the fracture growth to high precision. We estimate the times and locations of the fracture intersecting a monitoring and the production borehole using microseismic events. They are in excellent agreement with independent measurements using distributed temperature sensing, in-situ strain observations and measurements of conductivity changes.
This submission includes a microearthquake catalog, raw event files, a subset of the continuous microseismic monitoring data collected during stimulations and flow test activity on 05/22/2018, 05/23/2018, 05/24/2018, 05/25/2018, 06/25/2018, 07/19/2018, 07/20/2018, 12/7/2018, 12/20/2018, and 12/21/2018 (in binary format), and a binary file interpreter to read the continuous microseismic monitoring data. A Stanford Geothermal Workshop paper is also included to describe microseismic monitoring activities at SURF during these periods.},
url = {https://gdr.openei.org/submissions/1166},
year = {2019},
howpublished = {Geothermal Data Repository, Lawrence Berkeley National Laboratory, https://doi.org/10.15121/1557417},
note = {Accessed: 2025-04-25},
doi = {10.15121/1557417}
}
https://dx.doi.org/10.15121/1557417
Details
Data from Jul 29, 2019
Last updated Aug 13, 2024
Submitted Jul 29, 2019
Organization
Lawrence Berkeley National Laboratory
Contact
Martin Schoenball
Authors
Keywords
geothermal, energy, EGS Collab, SURF, hydraulic, fracturing, stimulation, Sanford Underground Research Facility, experiment, EGS, microseismic monitoring, meso-scale stimulations, Sandford Underground Research, mesoscale experiments, crystalline rock, 3D sensor, Lead, South Dakota, STA/LTA triggering algorithm, microseismicity, catalog, raw data, processed data, binary file interpreter, Python, geospatial dataDOE Project Details
Project Name EGS Collab
Project Lead Lauren Boyd
Project Number EE0032708