A method for processing seismic data includes receiving seismic data comprising seismic traces collected from a land-based or marine seismic array, applying a noise mitigation process to the seismic data to generate a first stack volume, identifying, using a machine-learning algorithm, one or more traces of the seismic traces as having a relatively high residual noise, after applying the noise mitigation process, in comparison to other traces of the seismic traces, mitigating noise in the one or more identified traces, and performing a wavefield reconstruction to generate a second stack volume after mitigating the noise in the one or more traces after mitigating the noise in the one or more identified traces, to interpolate a portion of the wavefield corresponding to where the one or more identified traces were located and mitigated.

A technique includes determining an image of a subsurface geologic region of interest, where the image represents at least in part ghost energy that is attributable to reflections caused by a reflecting interface. The technique includes deghosting the image, which includes processing data representing the image in a processor-based machine to determine at least one impulse response of a modeling and migration of at least one point scatterer for the region and use the impulse response(s) to attenuate the ghost energy.

Embodiments of non-uniformly spaced seismic receiver arrays and associated noise removal techniques are disclosed. In one embodiment of a method of seismic data acquisition, a plurality of seismic receivers may be positioned in an array having a plurality of regions, each region in the array having a respective average spacing between seismic receivers, with the average spacing in a second region of the plurality of regions being greater than the average spacing in a first region of the plurality of regions that is adjacent to the second region. Seismic data may be acquired utilizing the plurality of seismic receivers, and noise may be removed therefrom.

Methods and systems for acoustic data analysis are described. An example method includes obtaining digitized acoustic signals corresponding to acoustic signals collected by a logging tool deployed in a downhole environment. The method also includes providing a graphical user interface (GUI) that enables a user to view representations of the digitized acoustic signals and related coherence data. The method also includes receiving user-input regarding adjustment and inversion options for the digitized acoustic signals via a menu of the GUI. The method also includes deriving a shear slowness log for the downhole environment in accordance with the received user-input.

The subject disclosure relates to the interpretation of borehole sonic data using machine learning. In one example of a method in accordance with aspects of the instant disclosure, borehole sonic data is received, and machine learning is used to interpret the borehole sonic data.

A method includes receiving modelled seismic data that is to be recognized by the at least one classification and/or segmentation processor. The modelled seismic data can be represented within a transform domain. The method includes generating an output via the at least one processor based on the received modelled seismic data. The method also includes comparing the output of the at least one processor with a desired output. The method also includes modifying the at least one processor so that the output of the processor corresponds to the desired output.

The present disclosure relates to a method of processing seismic signals comprising: receiving a set of seismic signals, applying a wavelet transformation to the set of signals and generating transformed signals across a plurality of scales. Then for each scale determining coherence information indicative of the transformed signals and generating a comparison matrix comparing the transformed signals, then outputting seismic attribute information based on combined coherence information.

Systems, devices, and methods for evaluating an earth formation intersected by a borehole using signals produced at a plurality of borehole depths by an ultrasonic transducer in the borehole, the signals produced by the transducer including ringdown signals from the ultrasonic transducer and echo signals from a wall of the borehole from a plurality of azimuthal orientations. Methods include using peak amplitude values and arrival time values from the signals to construct a background modulation template corresponding to at least one depth; estimating, for each respective depth of the plurality of borehole depths, an azimuthally varying interference pattern predominantly resulting from a ringdown signal for each respective depth by mapping the modulation template to arrival time values corresponding to the respective depth; and subtracting, for each respective depth, the estimated varying interference pattern from the peak amplitude values corresponding to the respective depth to generate adjusted peak amplitudes.

The present invention relates to a method of processing seismic signals comprising: receiving a set of seismic signals, applying a wavelet transformation to the set of signals and generating transformed signals across a plurality of scales. Then for each scale determining coherence information indicative of the transformed signals and generating a comparison matrix comparing the transformed signals, then outputting seismic attribute information based on combined coherence information.

Methods and apparatuses for directional designature in shot domain are provided. Azimuth and take-off angles are calculated for each record in the seismic data. Directional designature is then applied to the seismic data using a source signature dependent on the azimuth and take-off angles.