4 datasets found
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Federal
Utah FORGE: Fault Reactivation Through Fluid Injection Induced Seismicity Laboratory Experiments
Department of Energy —
Included are results from shear reactivation experiments on laboratory faults pre-loaded close to failure and reactivated by the injection of fluid into the fault.... -
Federal
Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites
Department of Energy —
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to... -
Federal
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Department of Energy —
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... -
Federal
Utah FORGE: Fault Shear Reactivation Experimental Data for Fluid Injection-Rate Controls on Seismic Moment
Department of Energy —
Included are experimental data recorded from shear experiments that specifically explore the link between fluid-injection rate and seismic moment resulting from shear...
4 datasets found