Abstract: A method for identifying a seismic event includes extracting a portion of a plurality of seismic data signals based on energy levels in the plurality, comparing the extracted portion to a known pattern and determining a correlation, and identifying the seismic event based on the correlation. A computer program product and devices for implementing the method are provided.

Abstract: Disclosed is a method for determining seismic event data from indications of seismic noise, the method including receiving seismic trace data from a plurality of locations, and providing a virtual trace value (ERvirtual) as seismic event data for a virtual trace location from the seismic trace data. A system and computer program product for determining seismic event data is also disclosed.

Abstract: Disclosed is a device for monitoring seismic events, the device including a self-contained structure adapted for being disposed within a wellbore and independently monitoring and recording seismic events, a seismic sensor, a memory device in communication with the seismic sensor for receiving seismic data from the seismic sensor in response to the seismic events, a power source to allow for independent operation of the device, and a processor for processing the data. Also disclosed is a method for using the device.

Abstract: Disclosed is a system for detecting seismic events, the system including a plurality of seismic receivers, at least one of the receivers in the plurality adapted for: monitoring seismic activity, providing an alert to at least another of the receivers in the plurality upon detection of a seismic event, and triggering the monitoring in the at least another of the receivers in the plurality. A method and computer program product for monitoring seismic events is also disclosed.

Abstract: A method for filtering noise from seismic data is disclosed. The method includes: receiving at least one seismic data set; computing a value of at least one subset of a plurality of subsets of the at least one seismic data set; computing quartiles and an upper moustache (M) for the plurality of subsets; comparing the upper moustache (M) to the value of the at least one subset; and one of discarding and retaining the at least one subset as filtered seismic data. A system and computer program product for filtering noise from seismic data is also disclosed.

Abstract: A method for filtering noise from seismic data is disclosed. The method includes: receiving at least one seismic data set; computing a value of at least one subset of a plurality of subsets of the at least one seismic data set; computing quartiles and an upper moustache (M) for the plurality of subsets; comparing the upper moustache (M) to the value of the at least one subset; and one of discarding and retaining the at least one subset as filtered seismic data. A system and computer program product for filtering noise from seismic data is also disclosed.

Abstract: Disclosed is a method for evaluating seismic data, the method including identifying seismic data sets which are homogeneous; and identifying noise in the data sets by at least one of performing a macro analysis of the data sets to identify noise components; performing a correlation analysis of the data sets to identify correlating noise data; performing a polarization analysis to identify a direction of noise; and performing a spectral analysis to identify frequencies associated with noise. An associated system and computer program product are provided.

Abstract: Disclosed is a system for detecting seismic events, the system including a plurality of seismic receivers, at least one of the receivers in the plurality adapted for: monitoring seismic activity, providing an alert to at least another of the receivers in the plurality upon detection of a seismic event, and triggering the monitoring in the at least another of the receivers in the plurality. A method and computer program product for monitoring seismic events is also disclosed.

Abstract: A method for identifying a seismic event includes extracting a portion of a plurality of seismic data signals based on energy levels in the plurality, comparing the extracted portion to a known pattern and determining a correlation, and identifying the seismic event based on the correlation. A computer program product and devices for implementing the method are provided.

Abstract: Disclosed is a method for locating a seismic event. The method includes processing seismic data from at least one seismic receiver to validate a potential seismic event, computing a signal travel time between at least one node in an area of interest and the at least one seismic receiver, adjusting the seismic data according to the travel time, and identifying a location of the seismic event based on the adjusted seismic data. Systems for locating a seismic event are also disclosed.

Abstract: Disclosed is a device for monitoring seismic events, the device including a self-contained structure adapted for being disposed within a wellbore and independently monitoring and recording seismic events, a seismic sensor, a memory device in communication with the seismic sensor for receiving seismic data from the seismic sensor in response to the seismic events, a power source to allow for independent operation of the device, and a processor for processing the data. Also disclosed is a method for using the device.

Abstract: Disclosed is a method for determining seismic event data from indications of seismic noise, the method including receiving seismic trace data from a plurality of locations, and providing a virtual trace value (ERvirtual) as seismic event data for a virtual trace location from the seismic trace data. A system and computer program product for determining seismic event data is also disclosed.