Statistics-based seismic event detection

摘要

Automated detection of microseismic events is performed by a system and method that provides automated calculation of one or more statistical parameters for statistics-based detection of microseismic events of interest. An event detector to perform signal subspace-based detection may automatically, e.g. iteratively, be configured based on the one or more automatically calculated and/or estimated statistical parameters, which may include a signal subspace dimension, an effective embedding dimension, a detection threshold, and/or a false alarm rate. Some of the statistical parameters may be calculated based on custom-generated synthetic seismic data.

主权项

1. A method comprising:
receiving time series data representative of seismic activity sensed by a plurality of seismic sensors, the seismic activity including microseismic events in a subterranean formation; using one or more processors, automatically calculating one or more statistical parameters for performing automated analysis of the time series data to identify events of interest, the one or more automatically calculated statistical parameters including a signal subspace dimension; and using an event detector, performing automated analysis of the time series data, based at least in part on the one or more automatically calculated statistical parameters, to identify indication of micro seismic events of interest in the time series data.