Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments

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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

Pennsylvania State University. (2021). Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments [data set]. Retrieved from https://gdr.openei.org/submissions/1309.
Export Citation to RIS
Marone, Chris. Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments. United States: N.p., 05 May, 2021. Web. https://gdr.openei.org/submissions/1309.
Marone, Chris. Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments. United States. https://gdr.openei.org/submissions/1309
Marone, Chris. 2021. "Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments". United States. https://gdr.openei.org/submissions/1309.
@div{oedi_1309, 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.}, doi = {}, url = {https://gdr.openei.org/submissions/1309}, journal = {}, number = , volume = , place = {United States}, year = {2021}, month = {05}}

Details

Data from May 5, 2021

Last updated Jun 8, 2021

Submitted May 5, 2021

Organization

Pennsylvania State University

Contact

Chris Marone

Authors

Chris Marone

Pennsylvania State University

DOE Project Details

Project Name Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties

Project Lead Mike Weathers

Project Number EE0008763

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