Abstract:
Methods and apparatuses for processing marine seismic data with a process of combined deghosting and sparse τ-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 processing seismic data indicative of samples of at least one measured seismic signal in a processor-based machine to determine basis functions that represent a constructed seismic signal based at least in part on a matching pursuit-based technique. The technique further includes basing the determination of the basis functions at least in part on a predicted energy distribution of the constructed seismic signal.
Abstract:
The technologies described herein include systems and methods for performing a first seismic survey and performing a second seismic survey after a predetermined amount of time has lapsed between the first seismic survey and the second seismic survey. The shot times and the shot positions of the second seismic survey may be substantially the same as the shot times and the shot positions of the first seismic survey. After performing the seismic surveys, seismic data generated by the first seismic survey may be processed to generate a first image, and seismic data generated by the second seismic survey may be processed to generate a second image. After generating the first and second images, a difference between the first image and the second image may be computed to generate a time lapse difference image.