Automatic microseismic-event detection via supervised machine learning

INIS

• machine learning 100%
• vectors 100%
• detection 100%
• data 100%
• control 33%
• dynamics 33%
• hydraulic fracturing 33%
• wavelengths 33%
• levels 33%
• tolerance 33%
• processing 33%
• noise 33%
• monitoring 33%
• trains 33%
• signal-to-noise ratio 33%
• texture 33%
• seismic events 33%
• accuracy 33%
• randomness 33%
• errors 33%
• kernels 33%
• length 33%
• classification 33%
• forests 33%
• validation 33%

Earth and Planetary Sciences

• Event 100%
• Machine Learning 100%
• Detection 100%
• Selection 60%
• Show 20%
• Coefficient 20%
• Complexity 20%
• Domain 20%
• Real Time 20%
• Proving 20%
• Forest 20%
• Parameter 20%
• Hydraulic Fracturing 20%
• Train 20%
• Accuracy 20%
• Signal to Noise Ratios 20%
• Elimination 20%
• Input 20%
• Strategy 20%
• Error 20%
• Training 20%
• Segment 20%
• Seismic Source 20%
• Wavelength 20%

Computer Science

• Gaussian Kernel 33%