Systems and methods for attenuating multiples in seismic data are presented. In one aspect, predicted surface-related multiples are calculated for seismic data generated by receivers in a marine survey. Estimates of primaries and multiples may be calculated by applying adaptive subtraction to the predicted surface-related multiples. Residual multiples present in the estimated primaries may be identified using multiple diffraction reduction. The residual multiples and estimated multiples are used to generate final estimated multiples that are subtracted from the seismic data to generate primaries with attenuated multiples.

Methods and systems for processing data acquired using a variable-depth streamer, obtain up-going and down-going wavefields at a predetermined datum, and use them to identify multiples included in the up-going wavefield. An image of a geological formation under the seabed is then generated using the data from which the multiples have been removed, and/or the multiples.

Methods, systems, and computer-readable medium to perform operations for suppressing seafloor geophone seismic data noise. A computing system applies a vertical geophone de-noise process to enhance a compressional wave signal that is free from (independent of) shear energy leakage. This enhances the signal to noise (S/N) ratio of the vertical geophone component and concurrently make the vertical geophone component consistent with a hydrophone component.

Provided is a method for swell effect and mis-tie correction in high-resolution marine seismic data using multi-beam echo sounder data, and more particularly, a method for swell effect and mis-tie correction in high-resolution marine seismic data using multi-beam echo sounder data capable of acquiring the high-resolution marine seismic data having the swell effect and the mis-tie effectively corrected by using the multi-beam echo sounder data including water depth data of a sea-bottom having high precision.

A method for displaying slowness data after defects of anisotropy and heterogeneity have been removed includes visually depicting a slowness image on a computer monitor in which the slowness image includes a log of slowness values at a plurality of depths of a wellbore and a plurality of azimuth angles about a periphery of the wellbore. The image is processed via filtering such as with a bandpass filter. The filter may be obtained via fitting a periodic function to the slowness values at each depth or via a selected periodicity value and center angle. A resultant image is displayed.

A method for surveying, may include receiving, by a processor, first survey data from a first source, the first source comprising a first signal generated by a subsurface earth formation in response to a passive-source electromagnetic signal, wherein the electromagnetic signal is generated by an electroseismic or seismoelectric conversion of the passive-source electromagnetic signal. The method may also include receiving, by the processor, second survey data from a second source and processing the first survey data and the second survey data to determine one or more properties of a subsurface earth formation.

A method and apparatus for machine learning for use with automated seismic interpretation include: obtaining input data; extracting patches from a pre-extraction dataset based on the input data; transforming data of a pre-transformation dataset based on the input data and geologic domain knowledge and/or geophysical domain knowledge; and generating augmented data from the extracted patches and the transformed data. A method and apparatus for machine learning for use with automated seismic interpretation include: a data input module configured to obtain input data; a patch extraction module configured to extract patches from a pre-extraction dataset that is based on the input data; a data transformation module configured to transform data from a pre-transformation dataset that is based on the input data and geologic domain knowledge and/or geophysical domain knowledge; and a data augmentation module configured to augment data from the extracted patches and the transformed data.

A method and a system for implementing the method are disclosed wherein the source wavelet, input parameter models, and seismic input data may be obtained from a non-flat surface, sometimes mild, or foothill topography as well as the shot and receiver lines might not necessarily be straight, and often curve to avoid obstacles on the land surface. In particular, the method and system disclosed, suppresses low wavenumber and low frequency noises, by balancing lateral and vertical amplitudes to produce an image of subsurface reflectors located within a survey area having higher lateral resolutions and wavenumbers, as well as higher high-cut frequencies, and lower low-cut frequencies in complex media, than could otherwise not be achieved by other methods commonly known in the art.

In a method for deghosting seismic data acquired by a marine seismic source and receiver assembly effects of seismic reflections by the water surface, known as ghost signals, are removed by a deghosting algorithm, which transforms input seismic data with the surface ghost reflections into source- and receiver-deghosted seismic data using a sparse-inversion technique both for hydrophone and/or geophone recordings, which technique includes equation (26), thereby considerably improving usuable bandwidth and giving rise to a significant imaging uplift.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for echo-deblending using coincidence-filtering of offshore seismic data. In one aspect, a method includes receiving an offshore seismic dataset of a surveyed subsurface, the offshore seismic dataset comprising a primary-wave signal and a ghost-wave signal; determining a forward extrapolation and a backward extrapolation for the offshore seismic dataset; determining a coincident signal by applying a coincidence filtering to the forward extrapolation and the backward extrapolation; extrapolating the coincident signal to determine a ghost-wave value for the ghost-wave signal; applying adaptive subtraction to the offshore seismic dataset with the ghost-wave value to determine a computed primary-wave value for the primary-wave signal; generating a model of the surveyed subsurface based on primary-wave data calculated from the offshore seismic dataset based on the computed primary-wave value; and evaluating a productivity of the surveyed subsurface according to the model.