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Improved Microseismicity Detection During Newberry EGS Stimulations

Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...

Templeton, D. Lawrence Livermore National Laboratory

Oct 01, 2013
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Improved Microseismicity Detection During Newberry EGS Stimulations

Templeton, D. Lawrence Livermore National Laboratory

Nov 01, 2013
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Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations

This a report for the project "Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations". Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key too...

Templeton, D. et al Lawrence Livermore National Laboratory

Apr 18, 2014
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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
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Improved Microseismicity Detection During Newberry EGS Stimulations

Improved Microseismicity Detection During Newberry EGS Stimulations

Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction