Abstract:
A method for processing seismic data includes receiving seismic data and a velocity model (c(x)) for a plurality of locations (x), scaling a dimension of the seismic data according to the velocity model (c(x)) to provide a velocity normalized seismic data, and generating a final image (S(x)) of the subsurface using the velocity normalized seismic data. The velocity normalized seismic data may be a reverse-time migration image (I(x,ξ)) corresponding to the plurality of locations (x) and a plurality of propagation distance offsets (ξ). The method may also include transforming the reverse-time migration image (I(x,ξ)) for the plurality of selected positions (x) to a wavenumber domain to provide velocity normalized wavenumber data (I(k,ψ)) and suppressing data components corresponding to non-physical or undefined reflection angles to provide enhanced wavenumber data (I′(k,ψ)) and using the enhanced wavenumber data (I′(k,ψ)) to generate the final image (S(x)). A corresponding apparatus is also disclosed herein.
Abstract:
Computing device, computer instructions and method for processing input seismic data d. The method includes a step of receiving the input seismic data d recorded in a first domain by seismic receivers that travel in water, the input seismic data d including up-going and down-going wave-fields; a step of generating a model p in a second domain to describe the input seismic data d; and a step of processing with a processor the model p to obtain an output seismic dataset indicative of the down-going wave-field and substantially free of the up-going wave-field.
Abstract:
Computing device, computer instructions and method for calculating an image of a subsurface based on least square migration and image de-convolution using a matching operator F. The method includes receiving seismic data d; computing a first image m of the subsurface based on the seismic data d; computing a second image h of the subsurface based on the first image m; applying a transform operation to the first and second images m and h to obtain a first transform of the first image and a second transform of the second image; calculating the matching operator F by matching the first transform of the first image to the second transform of the second image; and generating an updated image mupdated of the subsurface based on the matching operator F and the first transform of the first image.
Abstract:
Methods of compensating for source signature effects in seismic data are described. One method includes a step of receiving seismic data recorded with a receiver; a step of receiving source data of the seismic waves generated by the moving source; a step of receiving position data of the source while generating the seismic waves; a step of determining a transform operator using the source data, the position data, and a selected domain-transform operator; a step of determining a seismic model by mathematically optimizing a relationship between the transform and the seismic data; and a step of compensating for the source signature effects in the seismic data using the seismic model. A method for generating an image of a subsurface of a geographical area using seismic data includes compensating the seismic data for source signature effects using a model which assumes a moving, non-impulsive source.
Abstract:
Systems and methods are provided for de-noising seismic data recorded by seismic receivers. A first portion of the seismic data having a first signal-to-noise ratio (SNR) to is processed to generate a de-noising operator or function. The de-noising operator is applied to a second portion of seismic data having a second SNR to remove noise from the second portion of the seismic data, where the first SNR is greater than the second SNR.
Abstract:
A device, medium and method for deblending seismic data associated with a subsurface of the earth. The method includes receiving an input dataset generated by first and second sources S1 and S2 that are operating as simultaneous sources; arranging the input dataset based on the firing times of source S1; applying with a computing system an annihilation filter to the arranged input dataset to estimate cross-talk noise; convolving the cross-talk noise estimate with an operator to form a signal estimate using the firing times of S1 and S2; and generating an image of the subsurface based on the signal estimate.
Abstract:
Systems and methods are provided for de-noising seismic data recorded by seismic receivers. A first portion of the seismic data having a first signal-to-noise ratio (SNR) to is processed to generate a de-noising operator or function. The de-noising operator is applied to a second portion of seismic data having a second SNR to remove noise from the second portion of the seismic data, where the first SNR is greater than the second SNR.
Abstract:
Methods and devices for seismic data processing de-blend seismic data using the different source signatures as discriminating factors. The methods may be used when sources were fired with dithering times.
Abstract:
Computing device, computer instructions and method for de-ghosting seismic data related to a subsurface. The method may include receiving input seismic data recorded by seismic receivers that located at different depths (zr), generating migration data (du) and mirror migration data (dd) from the input seismic data, deriving a ghost free model (m) based on simultaneously using the migration data (du) and mirror migration data (dd), generating primary (p) and ghost (g) datasets based on the ghost free model (m), simultaneously adaptively subtracting the primary (p) and ghost (g) datasets from the migration data (du) to provide adapted primary (p′1 and p′2) and adapted residual (r′1 and r′2) datasets, and generating a final image (f) of the subsurface based on the adapted primary (p′1 and p′2) and the adapted residual (r′1 and r′2) datasets. In certain embodiments, the input seismic data d includes both hydrophone data and particle motion data.
Abstract:
A method for processing seismic data may include receiving input seismic data (di) comprising N spatial coordinates, where the input seismic data is in a first spatial domain, expanding the N spatial coordinates of the input seismic data (di) to N′ modified spatial coordinates, where N′ is greater than N, to provide spatially expanded seismic data (de) that is in a second spatial domain, transforming the spatially expanded seismic data (de) to a model domain to provide model domain data (dm), and generating a final image (df) of a subsurface using the model domain data (dm).