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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.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Chris Marone",
"@type": "vcard:Contact",
"hasEmail": "mailto:marone@psu.edu"
}
|
| dataQuality |
true
|
| description | 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Data from experiments p5270 and p5271",
"format": "4273891",
"accessURL": "https://doi.org/10.5281/zenodo.4273891",
"mediaType": "application/octet-stream",
"description": "Active source ultrasonic data from lab experiments p5270 and p5271.
(Note: the location is the lab location in University Park, PA)"
}
]
|
| identifier | https://data.openei.org/submissions/7427 |
| issued | 2021-05-05T06:00:00Z |
| keyword |
[
"AI",
"Active source",
"Friction experiment",
"Laboratory",
"MATLAB",
"Seismic",
"acoustic",
"acoustics",
"artificial intelligence",
"biaxial testing apparatus",
"deep learning",
"earthquake forecasting",
"energy",
"fault",
"geophysics",
"geothermal",
"lab data",
"machine learning",
"mechanical data",
"microseismicity",
"preprocessed",
"raw data",
"seismic forecasting",
"ultrasonic",
"ultrasonic acoustic monitoring system",
"waveforms"
]
|
| landingPage | https://gdr.openei.org/submissions/1309 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2021-06-08T19:19:38Z |
| programCode |
[
"019:006"
]
|
| projectLead | Mike Weathers |
| projectNumber | EE0008763 |
| projectTitle | Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties |
| publisher |
{
"name": "Pennsylvania State University",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-77.85877351305908,40.788594912067914],[-77.85877351305908,40.788594912067914],[-77.85877351305908,40.788594912067914],[-77.85877351305908,40.788594912067914],[-77.85877351305908,40.788594912067914]]]}"
|
| title | Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments |
