Abstract: Synthetic survey data is generated using a two-way or one-way wave propagator based on a current model of a target structure. The current model is modified to reduce a difference between the synthetic survey data and observed survey data, while maintaining unchanged a velocity component of the current model, where the modifying of the current model produces a modified model. The modified model is used to reduce an adverse effect of multiples in the target structure, or to promote a favorable effect of multiples in the target structure.

Abstract: Processing measurements to create “reflectivity” data at a datum for a target using Joint Point-Spread Functions. The “reflectivity” data can be an image or an extended image. The methods can create single reflectivity data from measurements from multiple experiments, or multiple processed datasets via different processing routes from measurements from a single experiment, or measurements from a single experiment with multiple simultaneous sources.

Abstract: Methods and apparatuses for processing marine seismic data with a process of combined deghosting and sparse ?-p transformation. The process is formulated as an optimization problem. The optimization problem has an objective function that is a weighted sum of two norms: one norm is an Lp norm of the differences between the modeled data and acquired survey wherein the modeled data are derived from a model and a set of adaptive filters; the other norm is an Lq norm of the model; and the optimization variables and solutions are the coefficients of the model and coefficients of the adaptive filters.

Abstract: Synthetic survey data is generated using a two-way or one-way wave propagator based on a current model of a target structure. The current model is modified to reduce a difference between the synthetic survey data and observed survey data, while maintaining unchanged a velocity component of the current model, where the modifying of the current model produces a modified model. The modified model is used to reduce an adverse effect of multiples in the target structure, or to promote a favorable effect of multiples in the target structure.

Abstract: Seismic data processing methods and computing systems are presented. In one embodiment, a method is disclosed that includes simulating a set of simulated seismic data from a set of acquired seismic data; separating the simulated seismic data into a plurality of data sets, wherein one set of data is matched in the acquired seismic data and one set of data is unmatched in the acquired seismic data; conforming the simulated seismic data and the acquired seismic data to one another using separated, simulated seismic data unmatched by a counterpart in the acquired seismic data from the acquired seismic data; and performing an inversion between the acquired seismic data and the separated, simulated seismic data after they are conformed to one another.

Abstract: Methods and apparatuses for processing marine seismic data with a process of combined deghosting and sparse T-p transformation. The process is formulated as an optimization problem. The optimization problem has an objective function that is a weighted sum of two norms: one norm is an Lp norm of the differences between the modeled data and acquired survey wherein the modeled data are derived from a model and a set of adaptive filters; the other norm is an Lq norm of the model; and the optimization variables and solutions are the coefficients of the model and coefficients of the adaptive filters.

Abstract: A technique includes performing reverse time imaging to determine an image in a region of interest. The reverse time imaging includes modeling a pressure wavefield and a gradient wavefield in the region of interest based at least in part on particle motion data and pressure data acquired by sensors in response to energy being produced by at least one source.

Abstract: Processing measurements to create “reflectivity” data at a datum for a target using Joint Point-Spread Functions. The “reflectivity” data can be an image or an extended image. The methods can create single reflectivity data from measurements from multiple experiments, or multiple processed datasets via different processing routes from measurements from a single experiment, or measurements from a single experiment with multiple simultaneous sources.

Abstract: Seismic data processing methods and computing systems are presented. In one embodiment, a method is disclosed that includes simulating a set of simulated seismic data from a set of acquired seismic data; separating the simulated seismic data into a plurality of data sets, wherein one set of data is matched in the acquired seismic data and one set of data is unmatched in the acquired seismic data; conforming the simulated seismic data and the acquired seismic data to one another using separated, simulated seismic data unmatched by a counterpart in the acquired seismic data from the acquired seismic data; and performing an inversion between the acquired seismic data and the separated, simulated seismic data after they are conformed to one another.

Abstract: A technique includes performing reverse time imaging to determine an image in a region of interest. The reverse time imaging includes modeling a pressure wavefield and a gradient wavefield in the region of interest based at least in part on particle motion data and pressure data acquired by sensors in response to energy being produced by at least one source.

Abstract: The present invention includes a method for determining interval values of seismic quality factor, Q, from seismic data. Seismic data is recorded and preprocessed as necessary. Estimates of amplitude spectra are determined from the seismic data. Logarithms are taken of the amplitude spectra and weights derived from the amplitude spectra. Interval values of seismic quality factor, Q, are determined by performing a weighted fit to the log-amplitude spectra with a function that is parameterized by an initial wavelet, an attenuation profile (1/Q) and an absolute-scaling profile.