Abstract: A technique includes decomposing a signal that is derived from a seismic acquisition into a plurality of signals such that each signal is associated with a different frequency band. For each signal of the plurality of signals, the technique includes performing the following: decomposing the signal into subbands in successive stages, where the subbands are associated with at least different frequency ranges of the signal; selectively applying adaptive noise attenuation in between the successive stages such that the stages decompose noise-attenuated subbands; and reconstructing the signal from the subbands resulting from the decomposition. The technique includes combining the reconstructed signals.

Abstract: A method for processing seismic data. The method may include (1) receiving seismic data acquired by an ith seismic sensor of a plurality of seismic sensors and (2) determining an ith value to represent an ith power spectral density curve that corresponds to the seismic data. The method may then repeat steps (1)-(2) for each seismic sensor. The method may then include generating an expected value curve based on the ith value for each power spectral density curve. The method may then compare each ith value to the expected value curve and identify invalid seismic sensors based on the comparison. After identifying the invalid seismic sensors, the method may process the seismic data without seismic data acquired by the invalid seismic sensors to determine one or more locations of hydrocarbon deposits in subterranean geological formations.

Abstract: A technique includes receiving particle motion data acquired by particle motion sensors while in tow. The particle motion data are indicative of a seismic signal and a torque noise, and the particle motion sensors are oriented to modulate a wavenumber of a first component of the torque noise away from a signal cone that is associated with the seismic signal. The technique includes estimating the first component of the torque noise and based at least in part on the estimated first component, estimating a second component of the torque noise inside the signal cone. The technique includes suppressing the second component of the torque noise based at least in part on the estimated second component.

Abstract: A technique includes acquiring particle motion data from a plurality of particle motion sensors while in tow during a seismic survey. During the seismic survey, the particle motion data are processed without deghosting the particle motion data to determine whether at least some portion of the particle motion data is inadequate for an application that relies on the particle motion data.

Abstract: To calibrate an accelerometer, a seismic cable that carries the accelerometer is rotated. Data measured by the accelerometer as the seismic cable is rotated is received, and at least one calibration parameter according to the received data is computed. The at least one calibration parameter is for use in calibrating the accelerometer.

Abstract: A technique includes receiving seismic data acquired by seismic sensors; and processing the seismic data on a machine to deghost the data. The processing includes deghosting the seismic data using a first deghosting technique that relies on a ghost model; deghosting the seismic data using a second deghosting technique that is independent from any modeling of the ghost; and selectively combining the results of the deghosting using the first and second deghosting techniques.

Abstract: A technique includes receiving seismic data indicative of measurements acquired by seismic sensors. The measurements are associated with a measurement noise. The technique includes estimating at least one characteristic of the measurement noise and deghosting the seismic data based at least in part on the estimated characteristic(s) of the measurement noise.

Abstract: A technique includes receiving data indicative of non-uniformly spaced samples of particle motion wavefield acquired by particle motion sensors while in tow. The samples are spaced apart by an average spacing interval, which is not small enough to prevent vibration noise from being aliased into a signal cone for a first signal formed from samples of the particle motion wavefield having a uniform spacing at the average spacing interval. The technique includes processing the data to generate a second signal that is indicative of the particle motion wavefield and does not have aliased vibration noise in the signal cone.

Abstract: A technique includes distributing particle motion sensors along the length of a seismic streamer. Each particle motion sensor is eccentrically disposed at an associated angle about an axis of the seismic streamer with respect to a reference line that is common to the associated angles. The sensors are mounted to suppress torque noise in measurements that are acquired by the particle motion sensors. This mounting includes substantially varying the associated angles.

Abstract: A technique includes representing actual measurements of a seismic wavefield as combinations of an upgoing component of the seismic wavefield and ghost operators. Interpolated and deghosted components of the seismic wavefield are jointly determined based at least in part on the actual measurements and the representation.

Abstract: A technique includes representing actual measurements of a seismic wavefield as combinations of an upgoing component of the seismic wavefield and ghost operators. Interpolated and deghosted components of the seismic wavefield are jointly determined based at least in part on the actual measurements and the representation.

Abstract: A technique includes receiving seismic data acquired in a seismic survey. The survey has an associated undersampled direction, and the seismic data contains samples, which are indicative of a pressure wavefield and a directional derivative of the pressure wavefield that contains information related to vertical variations. The technique includes relating the samples to the pressure wavefield or to the directional derivative of the pressure wavefield using at least one linear filter and based on the relationship, constructing a substantially unaliased continuous representation of the pressure wavefield or the directional derivative of the pressure wavefield along the undersampled direction.

Abstract: A technique includes receiving data, which are indicative of measurements acquired by seismic sensors of a seismic wavefield. The seismic wavefield is formed from a combination of an upgoing wavefield and a downgoing wavefield. The technique includes providing a statistical estimator, which relates the upgoing wavefield to a linear combination of the measurements and a reconstruction error. The technique includes determining the upgoing wavefield based on the statistical estimator. The determination includes substantially minimizing a variance of the reconstruction error.

Abstract: A technique to reconstruct a seismic wavefield includes receiving datasets, where each dataset is indicative of samples of one of a plurality of measurements of a seismic wavefield that are associated with a seismic survey. The technique includes modeling the plurality of measurements of a seismic wavefield as being generated by the application of at least one linear filter to the seismic wavefield. The technique includes processing the datasets based on the linear filter(s) and a generalized matching pursuit technique to generate data indicative of a spatially continuous representation of the seismic wavefield.

Abstract: There is provided a method of interpolating wave signals, particularly seismic signals acquired through a seismic survey, using the steps of obtaining time series of measured wave signals; and selecting iteratively basis functions to represent said measured signals with a basis function being fully defined by n parameters, wherein in each iteration one or more basis functions are combined with the selected basis functions such that the residual between the measured signals and a representation of the measured signal by the combined basis functions is minimized at the locations of the measurement at each iteration.

Abstract: A technique includes receiving data indicative of a first measurement acquired by a rotation sensor on a seismic streamer and based on the first measurement, estimating a torque noise present in a measurement acquired by a second sensor on the streamer. The technique includes attenuating the torque noise based on the estimate.

Abstract: A technique includes obtaining particle motion data and pressure data that are acquired by seismic sensors while in tow. The sensors are part of a plurality of streamers, and the pressure and particle motion data contain surface ghosts. The technique includes processing the particle motion data and the pressure data to generate a data set that is indicative of a pressure wavefield at positions between the streamers and is substantially free of the surface ghosts.

Abstract: A technique for decomposing a recorded wave field represented in a set of multicomponent, marine seismic data centers around a computer-implemented method including: estimating the statistics of the noise terms in each one of a predetermined group of seismic measurements in a seismic data set acquired in a marine survey; modeling the physical propagation of a recorded wave field represented in the seismic data set from the estimated statistics; and estimating a directional component of the recorded wave field from the physical propagation model that minimizes error relative to the seismic measurements.

Abstract: A computer-implemented method includes accessing a set of multicomponent marine noise data exhibiting a plurality of polarization vectors at each of a plurality of co-located pressure and particle motion data points on a marine seismic survey apparatus; and determining a set of perturbation noise data for the marine seismic survey apparatus from the polarization vectors. Computer readable program storage media are encoded with instructions that, when executed by a processor, perfume the computer-implemented method. One computing apparatus is programmed to perform the computer-implemented method.

Abstract: A technique includes modeling interpolated seismic measurements as a random process characterized by seismic measurements acquired at a set of sensor locations and an interpolation error. The technique includes determining the interpolated seismic measurements based at least in part on a minimization of the interpolation error.