Bidirectional recurrent neural networks for seismic event detection

  title={Bidirectional recurrent neural networks for seismic event detection},
  author={Claire Emma Birnie and Fredrik Hansteen},
Real time, accurate passive seismic event detection is a critical safety measure across a range of monitoring applications from reservoir stability to carbon storage to volcanic tremor detection. The most common detection procedure remains the Short-Term-Average to Long-Term-Average (STA/LTA) trigger developed in the 1970's, in part due to its easy implementation and real-time processing capability. However, it has a number of well-documented limitations such as requiring a signal-to-noise… 

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■ Abstract Real-time seismology refers to a practice in which seismic data are collected and analyzed quickly after a significant seismic event, so that the results can be effectively used for