A computing device can use a support vector machine to categorize well data as being associated with a noise event or a microseismic event. For example, the computing device can determine well data based on sensor signals from a sensor in a wellbore. The computing device can then use the support vector machine to categorize the well data as being associated with a noise event or a microseismic event.

A method for developing or maintaining a subterranean field includes: parameterizing seismic wave records for each identified seismic event to provide a parameter describing each seismic wave record used to identify each seismic event; generating a reference seismic event data base having the identified seismic events and the parameter; calculating a similarity value for new received seismic wave records with respect to each seismic event in the reference seismic event data base using the corresponding parameter to provide a plurality of similarity values; identifying a maximum similarity value from any of the similarity values in the plurality of similarity values that meets or exceeds a similarity threshold value; identifying a new seismic event at a location of the seismic event in the reference seismic event data base corresponding to the maximum similarity value; and modifying operation of subterranean field-related equipment in response to identifying the new seismic event.

Embodiments of using known source locations in seismic data processing are disclosed. In one embodiment, a method of locating a seismic event includes receiving location information for a plurality of known source events proximate the seismic event, and determining an estimated location of the seismic event using a relative locator constrained by the location information for the plurality of known source events.

The present disclosure relates to an automatic system and method for detecting problematic geological formations ahead of tunnel faces. The automatic system includes a data acquisition module configured to acquire data, a data transmission module configured to transmit the data and a control and data analysis module configured to receive and analyze the data and determine the geological formations ahead of the tunnel faces. The data acquisition module includes at least one three-component detector and a processor. The three-component detector is installed in a borehole in a side wall of the tunnel. The data transmission module includes a synchronous communicator and a signal line with shielding properties. The synchronous communicator is connected with the three-component detector via the signal line. The control and data analysis module includes a host and a control and analysis procedure of the host. The host is connected with the synchronous communicator.

Fracture imaging modules having one or more 3-component sensors, are incorporated into a tool comprising two or more of the modules for detecting microseismic events in a formation from the same wellbore as is being stimulated. The modules are locked together in a compact mode to permit injection into the wellbore through a conventional lubricator which has a fixed length. Once injected into the wellbore, the modules are spaced from one another in an extended mode to form an axially spaced sensor array which increases the measurement window in the wellbore compared to sensor arrays conventionally injected through a fixed length lubricator. Following the operation, the modules are actuated to return to the compact mode for pulling out of the hole through the lubricator.

Provided are methods and systems for monitoring and optimizing stimulation operations in a reservoir. In particular, the methods and systems utilize a downhole telemetry system, such as a network of sensors and downhole wireless communication nodes, to monitor various stimulation operations.

A system for determining a fingerprint of a structure is provided. The system includes a plurality of granules inserted in a structure having a plurality of fissures, fractures, and cracks (collectively apertures), each granule comprising a membrane, and at least one bubble of compressed gas formed in the membrane, the membrane selectively dissolving in presence of a predetermined fluid and thereby selectively bursting the at least one bubble, thereby generating a concussing vibration, at least at least i) three detection devices for two-dimensional mapping or ii) four detection devices for three-dimensional mapping placed proximate to the structure according to a predetermined placement schedule, and a computing device comprising a processor configured to receive data from the at least three or four detection devices and to determine location of the at least one bubble of each of the plurality of the granules at the time of bursting by triangulating the concussive vibration in order to determine location of the at least one bubble.

The present disclosure includes a method including determining a spatial region for analysis and selecting a segment of time for analysis, analyzing and correcting a plurality of traces from a plurality of receivers using an iterative non-linear inversion algorithm, wherein each iteration of the non-linear algorithm corrects the plurality of traces using at least one set of parameters defining a microseismic event, determining whether a final stack value of the plurality of traces corrected based on the at least one set of parameters of a final iteration of the iterative non-linear inversion algorithm exceeds a predetermined threshold and upon a determination that the final stack value exceeds the predetermined threshold, detecting a microseismic event defined by the at least one set of parameters of final iteration. The present disclosure also includes associated systems and computer-readable media.

Uncertainty in microseismic monitoring sensor data can be reduced. A computing device can receive information about at least one sensor that is monitoring a subterranean formation, including a location, after a fracturing fluid is introduced into the formation. The computing device can also receive information about a microseismic event and determine a seismic ray bath between a location of the event and the at least one sensor, and an uncertainty value of the location based on information about the formation and the information about the event. The computing device can determine a total uncertainty value associated with the locations of a plurality of microseismic events, including the microseismic event. The computing device can determine a solution to an objective function based on the total uncertainty value and a number of sensors. The computing device can determine a new location of the at least one sensor based on the solution.

In the field of seismic data analysis, the problem of estimating features of a microseismic event waveform, detected at the sensors of a geophone array in the presence of background seismic energy and sensor noise, is considered. Embodiments of the present disclosure provide a method and system for estimating wavefront arrival times and polarizations across the sensors of an array, while simultaneously extracting the associated event sensor waveforms from the seismic background. The resulting waveform estimates are estimated in such a way that estimation errors are expected to be noise-like, and free of any systematic changes in the magnitude or phase of the arriving wavefronts.