Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The friction experiments reported here were performed in a double-direct shear (DDS) configuration in a biaxial testing apparatus in the Penn State Rock Mechanics laboratory. In addition to mechanical data acquisition, all experiments were instrumented with an ultrasonic acoustic monitoring system. Both mechanical data and ultrasonic data from experiments p5270 and p5721 are available in this submission.
Citation Formats
TY - DATA
AB - Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The friction experiments reported here were performed in a double-direct shear (DDS) configuration in a biaxial testing apparatus in the Penn State Rock Mechanics laboratory. In addition to mechanical data acquisition, all experiments were instrumented with an ultrasonic acoustic monitoring system. Both mechanical data and ultrasonic data from experiments p5270 and p5721 are available in this submission.
AU - Marone, Chris
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - geothermal
KW - energy
KW - Seismic
KW - Active source
KW - Laboratory
KW - Friction experiment
KW - ultrasonic
KW - geophysics
KW - microseismicity
KW - lab data
KW - raw data
KW - waveforms
KW - mechanical data
KW - preprocessed
KW - MATLAB
KW - acoustics
KW - acoustic
KW - biaxial testing apparatus
KW - ultrasonic acoustic monitoring system
KW - machine learning
KW - deep learning
KW - AI
KW - artificial intelligence
KW - seismic forecasting
KW - earthquake forecasting
KW - fault
LA - English
DA - 2021/05/05
PY - 2021
PB - Pennsylvania State University
T1 - Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments
UR - https://data.openei.org/submissions/7427
ER -
Marone, Chris. Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments. Pennsylvania State University, 5 May, 2021, GDR. https://gdr.openei.org/submissions/1309.
Marone, C. (2021). Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments. [Data set]. GDR. Pennsylvania State University. https://gdr.openei.org/submissions/1309
Marone, Chris. Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments. Pennsylvania State University, May, 5, 2021. Distributed by GDR. https://gdr.openei.org/submissions/1309
@misc{OEDI_Dataset_7427,
title = {Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments},
author = {Marone, Chris},
abstractNote = {Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The friction experiments reported here were performed in a double-direct shear (DDS) configuration in a biaxial testing apparatus in the Penn State Rock Mechanics laboratory. In addition to mechanical data acquisition, all experiments were instrumented with an ultrasonic acoustic monitoring system. Both mechanical data and ultrasonic data from experiments p5270 and p5721 are available in this submission.},
url = {https://gdr.openei.org/submissions/1309},
year = {2021},
howpublished = {GDR, Pennsylvania State University, https://gdr.openei.org/submissions/1309},
note = {Accessed: 2025-05-03}
}
Details
Data from May 5, 2021
Last updated Jun 8, 2021
Submitted May 5, 2021
Organization
Pennsylvania State University
Contact
Chris Marone
Authors
Original Source
https://gdr.openei.org/submissions/1309Research Areas
Keywords
geothermal, energy, Seismic, Active source, Laboratory, Friction experiment, ultrasonic, geophysics, microseismicity, lab data, raw data, waveforms, mechanical data, preprocessed, MATLAB, acoustics, acoustic, biaxial testing apparatus, ultrasonic acoustic monitoring system, machine learning, deep learning, AI, artificial intelligence, seismic forecasting, earthquake forecasting, faultDOE Project Details
Project Name Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties
Project Lead Mike Weathers
Project Number EE0008763
