Abstract: A method for picking first breaks on a synthetic seismic dataset for a full wavefield travel-time inversion is provided. This method includes obtaining a synthetic seismic dataset and for each synthetic trace, determining a plurality of synthetic trace amplitude maxima and minima, determining a modified energy ratio trace, and forming a trace mask based at least in part, on an amplitude of the synthetic trace and on an amplitude of the modified energy ratio trace. The method further includes determining for each synthetic trace, a positive estimated first break based on the plurality of synthetic trace amplitude maxima and the trace mask and a negative estimated first bread based on the plurality of synthetic trace amplitude minima and the trace mask. The method concludes with determining a predicted first break for each synthetic trace from the positive estimate first break and the negative estimate first break.

Abstract: A method for picking first breaks on a synthetic seismic dataset for a full wavefield travel-time inversion is provided. This method includes obtaining a synthetic seismic dataset and for each synthetic trace, determining a plurality of synthetic trace amplitude maxima and minima, determining a modified energy ratio trace, and forming a trace mask based at least in part, on an amplitude of the synthetic trace and on an amplitude of the modified energy ratio trace. The method further includes determining for each synthetic trace, a positive estimated first break based on the plurality of synthetic trace amplitude maxima and the trace mask and a negative estimated first bread based on the plurality of synthetic trace amplitude minima and the trace mask. The method concludes with determining a predicted first break for each synthetic trace from the positive estimate first break and the negative estimate first break.

Abstract: A system and method for determining a set of first breaks of a seismic dataset are disclosed, the method including obtaining the seismic dataset composed of a plurality of seismic traces and a provisional first break for each seismic trace. The method further includes selecting a plurality of proximal picks for each seismic trace, determining a near-offset pick for each seismic trace starting with shortest offset and sequentially selecting traces in order of increasing offset, and determining a far-offset pick for each seismic trace starting with the farthest offset and sequentially selecting traces in order of decreasing offset. The method further includes determining a set of coincident picks based on the near-offset and the far-offset picks for each seismic trace, fitting a curve to the set of coincident picks, and determining the set of first breaks of the seismic dataset from the curve.

Abstract: A method may include obtaining an input gather regarding a geological region of interest. The method may further include obtaining parameterization data regarding a seismic processing operation. The parameterization data may correspond to a first set of process parameter values that are different from a second set of process parameter values that are used to generate the input gather. The method may further include generating a predicted output gather using a machine-learning model, the input gather, and the parameterization data. The machine-learning model may include an encoder model and a decoder model. The method may further include generating a seismic image of the geological region of interest using the predicted output gather.

Abstract: Systems, methods, and apparatuses directed to determining a long wavelength velocity model using acquired seismic data lacking low-frequency data is disclosed. Determination of the long wavelength velocity model may include generating a time-delayed signal from the acquired seismic data to produce low-frequency information and reducing a residual energy between the time-delayed signal from the acquired seismic data and a time-delayed signal of modeled data using an objective function to produce an optimized initial velocity model using full waveform inversion. Moreover, a full waveform inversion on the optimized initial velocity model using acquired data can be used to produce a velocity model more accurately representing subterranean formations.

Abstract: A method may include obtaining seismic data regarding a geological region of interest. The seismic data may include various pre-processed gathers. The method may further include obtaining a machine-learning model that is pre-trained to predict migrated seismic data. The method may further include selecting various training gathers based on a portion of the pre-processed gathers, a migration function, and a velocity model. The method may further include generating a trained model using the training gathers, the machine-learning model, and a machine-learning algorithm. The method may further include generating a seismic image of the geological region of interest using the trained model and a remaining portion of the seismic data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for echo-deblending using coincidence-filtering of offshore seismic data.

Abstract: Systems, methods, and apparatuses directed to determining a long wavelength velocity model using acquired seismic data lacking low-frequency data is disclosed. Determination of the long wavelength velocity model may include generating a time-delayed signal from the acquired seismic data to produce low-frequency information and reducing a residual energy between the time-delayed signal from the acquired seismic data and a time-delayed signal of modeled data using an objective function to produce an optimized initial velocity model using full waveform inversion. Moreover, a full waveform inversion on the optimized initial velocity model using acquired data can be used to produce a velocity model more accurately representing subterranean formations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating receiver deghosted output according to a receiver deghosting model.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for determining first-break (FB) points. One computer-implemented method includes: selecting, by a hardware processor, potential first-break (PFB) points based on seismic data obtained by plurality of seismic receivers in a geological location; determining, by the hardware processor, a first plurality of FB lines based on the PFB points; selecting, by the hardware processor, a first FB line among the plurality of FB lines; filtering, by the hardware processor, the PFB points based on the first FB line; determining, by the hardware processor, a second plurality of FB lines based on the filtered PFB points; selecting, by the hardware processor, a second FB line among the second plurality of FB lines; and determining, by the hardware processor, FB points based on the second FB line.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating receiver deghosted output according to a receiver deghosting model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for echo-deblending using coincidence-filtering of offshore seismic data.

Abstract: Systems and methods to determine a deghosted wavefield are described. In one aspect, the method computationally transforms recorded wavefield data from the space-time domain to a spectral domain and computationally deghosts the wavefield data in the wavenumber-frequency domain based on iterative minimization of a cost functional. The deghosted wavefield data may be transformed from the spectral domain back to the space-time domain and stored.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for determining first-break (FB) points. One computer-implemented method includes: selecting, by a hardware processor, potential first-break (PFB) points based on seismic data obtained by plurality of seismic receivers in a geological location; determining, by the hardware processor, a first plurality of FB lines based on the PFB points; selecting, by the hardware processor, a first FB line among the plurality of FB lines; filtering, by the hardware processor, the PFB points based on the first FB line; determining, by the hardware processor, a second plurality of FB lines based on the filtered PFB points; selecting, by the hardware processor, a second FB line among the second plurality of FB lines; and determining, by the hardware processor, FB points based on the second FB line.

Abstract: Computational systems and methods for deghosting marine seismic streamer data using cost-functional minimization are disclosed. In one aspect, the method computationally transforms recorded wavefield data from the space-time domain to a wavenumber-frequency domain and computationally deghosts the wavefield data in the wavenumber-frequency domain. The deghosted wavefield data may then computationally transformed from the wavenumber-frequency domain back to the space-time domain and stored. The computational methods include iterative minimization of a cost functional in the wavenumber-frequency domain.