Utah FORGE 6-3712: Real-time identification of microseismic events from timeseries data

This submission is a milestone report for project Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process must be done in real-time. A summary of the methodology is as follows: bandpass filter, shift (via cross-correlation) and stack signals, envelope function, peak detection, transfer function from amplitude to magnitude, creation of magnitude-frequency distribution, and finally, extract MFD ?a? and ?b? parameters.