Method for reconstructing seismic data. The method includes receiving at a computing device an input seismic data set d related to plural shots emitted by one or more seismic sources; receiving at the computing device a positional data set d.sub.p relating to recording locations of the receivers that recorded the input seismic data set d; receiving at the computing device a receiver target location; calculating an adjusted receiver location based on (i) the positional data set d.sub.p and (ii) the receiver target location, wherein the adjusted receiver location substantially coincides with a receiver location from the positional data set d.sub.p; calculating reconstructed seismic data d.sub.r at the adjusted receiver location using the input seismic data set d and the positional data set d.sub.p; and correcting the seismic wave paths from the one or more seismic sources to the receivers based on the reconstructed seismic data d.sub.r.

A method for full-waveform sonic (FWS) wavefield separation includes receiving FWS data; performing an anti-aliasing linear Radon transform on the received FWS data; extracting Radon-transformed FWS data corresponding to a wave component using a slanted window; and determining signals of the wave component by performing an inverse Radon transform on the extracted Radon-transformed FWS data.

Aspects of the disclosure provide a system for seismic sample data acquisition and processing. The system includes an acquisition system configured to acquire seismic sample data using compressive sensing. The acquisition system includes a plurality of receivers each configured to randomly sample a seismic signal to generate seismic sample data, and a data collection system configured to control sampling operations of the plurality of receivers, and receive and store the generated seismic sample data.

A method of generating geophysical data using at least one source. The method may include the steps of generating a geophysical wavefield with a varying signature using at least one source, wherein the signature is varied in a periodic pattern.

A method for processing seismic data includes receiving blended seismic data from one or more seismic sources. The method also includes applying a transform to the blended seismic data to decompose the blended seismic data into different parameters. The method also includes applying one or more independent sparse inversions to the different parameters. The method also includes defining a set of prior information techniques to be used within the one or more independent sparse inversions. The method also includes determining an energy part of the blended seismic data that is greater than a first predetermined threshold based at least partially upon the multiple independent sparse inversions, the set of prior information techniques, or both. The method also includes removing the energy part from the blended seismic data to produce modified seismic data.

Computing device, computer instructions and method for up-down separation of seismic data. The method includes receiving the seismic data, which includes hydrophone data and particle motion data; performing a first up-down separation, which is independent of a ghost model, using as input the hydrophone data and the particle motion data, to obtain first up-down separated data; performing a second up-down separation by using as input a combination of (i) the hydrophone data and/or the particle motion data and (ii) the first up-down separated data, wherein an output of the second up-down separation is second up-down separated data; and generating an image of the subsurface based on the second up-down separated data.

Prediction and subtraction of multiple diffractions may include transforming previously acquired seismic data from a time-space domain to a transformed domain using a dictionary of compressive basis functions and separating, within the transformed previously acquired seismic data, a first portion and a second portion of the transformed previously acquired seismic data. Prediction and subtraction of multiple diffractions may also include predicting a plurality of multiple diffractions based on the separated first and second portions and adaptively subtracting the predicted multiple diffractions from the previously acquired seismic data. Prediction and subtraction of multiple diffractions may also include inverse transforming a particular seismic data set from the transformed domain to the time-space domain.

Methods, systems, and computer-readable media for analyzing a domain are provided. The method includes defining a mask plane that includes a first dimension of a first number of voxels and a second dimension of a second number of voxels, and selecting a plurality of first angles for orientating the mask plane in the domain with respect to a first axis. The method also includes for each one of the plurality of first angles selected populating, using one or more processors, sum cubes associated with each one of a first plurality of subject voxels. The method also includes selecting a plurality of second angles, and for each one of the plurality of second angles selected, calculating a planar sum for each one of a second plurality of subject voxels selected.

Computing systems, computer-readable media, and methods for direct arrival replacement. The method includes creating intermediate data from an acquired data by attenuating a direct arrival signal or attenuating the direct arrival signal and one or more strong early arrival signals recorded at a receiver; transforming the temporary data from a first processing domain into a second processing domain; modelling the direct arrival signal in the second processing domain; estimating a scalar for model calibration and a seabed reflectivity from an area around the direct arrival signal; and inserting the direct arrival signal that is modelled into the intermediate data in the second processing domain.