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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Marone, C. et al Pennsylvania State University
May 14, 2021
3 Resources
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3 Resources
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Brady's Geothermal Field Nodal Seismometer Earthquake Data
90-second records of data from 238 three-component nodal seismometer deployed at Bradys geothermal field. The time window catches an earthquake arrival.
Earthquake data from USGS online catalog:
Magnitude: 4.3 ml +/ 0.4
Location: 38.479 deg N 118.366 deg W +/ 0.7 km
Depth: 9.9 km...
Feigl, K. University of Wisconsin
Mar 21, 2016
3 Resources
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3 Resources
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Reservoir Stimulation Optimization with Operational Monitoring for Creation of EGS
EGS field projects have not sustained production at rates greater than half of what is needed for economic viability. The primary limitation that makes commercial EGS infeasible is our current inability to cost-effectively create high-permeability reservoirs from impermeable, igne...
A., C. Pacific Northwest National Laboratory
Sep 25, 2013
19 Resources
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Publicly accessible
19 Resources
0 Stars
Publicly accessible