Abstract:
A method of processing seismic data including measurement data and their gradients to obtain gradients of move-out corrected data, comprising deriving gradients of the measurement data, deriving a first term comprising applying a move-out correction function to the measurement data; deriving a second term by applying the move-out correction function to the gradients and deriving gradients of move-out corrected data by adding the first term and the second term. The gradients of move-out corrected data are used to process physical properties of the earth's interior. The method may be used prior to any data processing algorithm which uses measurement gradient data in which move-out correction is applied prior to the algorithm, either because the algorithm makes a zero offset assumption or because it is beneficial for the algorithm to operate on move-out corrected data to reduce aliasing.
Abstract:
A technique includes generating vibroseis sweeps for a vibroseis survey to produce seismic data acquired in response to seismic signals produced by the sweeps. The generation of the vibroseis sweeps including temporally arranging the sweeps into time-overlapping groups. The technique includes regulating a timing of the groups relative to each other based on a slip time. The technique also includes regulating a timing of the sweeps of each group such that consecutive sweep firings of each group are spaced apart by a time substantially less than the slip time.
Abstract:
A method can include receiving data in a data domain where a first portion of the data domain includes a signal to noise ratio that exceeds a signal to noise ratio in a second portion of the data domain; generating a model; in a transform domain, based at least in part on the model, filtering at least a portion of the data in the second portion of the data domain; and, based at least in part on the filtering, outputting noise attenuated data for at least a portion of the data in the second portion of the data domain.
Abstract:
A controller controls phases of signals produced by survey sources according to a frequency of the signals. The controlling includes controlling the survey sources to be in phase for frequencies less than a predetermined frequency, and randomizing phases of the signals emitted by the survey sources for frequencies greater than the predetermined frequency, wherein the randomizing includes applying a smoothing operator in a specified frequency range, and emit signals with different phases for frequencies greater than the predetermined frequency.
Abstract:
Data representing a first multiple is predicted, based on first survey data for a target structure, using a multidimensional model of a layer in which the first multiple occurs. Modified survey data is produced by performing a subtraction of the predicted data representing the first multiple from the first survey data. Based on the modified survey data, data representing a second multiple is predicted using the multidimensional model.
Abstract:
A technique includes generating vibroseis sweeps for a vibroseis survey to produce seismic data acquired in response to seismic signals produced by the sweeps. The generation of the vibroseis sweeps including temporally arranging the sweeps into time-overlapping groups. The technique includes regulating a timing of the groups relative to each other based on a slip time. The technique also includes regulating a timing of the sweeps of each group such that consecutive sweep firings of each group are spaced apart by a time substantially less than the slip time.
Abstract:
Computing systems and methods for processing collected data are disclosed. In one embodiment, a method for iteratively separating a simultaneous-source dataset is provided, wherein the simultaneous-source dataset is used as an input dataset for a first iteration of simultaneous-source separation. The input dataset includes a plurality of shots that include data corresponding to a plurality of source activations. The method of iteratively separating the input dataset includes generating simulated simultaneous shots based on shots separated in the input dataset; and forming an output dataset based on the separated simultaneous shots and the simultaneous-source dataset, wherein the output dataset is configured for use as the input dataset for the next iteration of separating the simultaneous-source dataset.