GPU-based parallel algorithm of phase correction for Time-lapse seismic data

With the development of GPU in general calculations, it makes the GPU parallel computing used in seismic data processing of Time-lapse seismic and gets the great improvement in some important steps. In this paper, we make the heavy task of large liner equations of the time-lapse seismic data phase correction for parallel process based on the GPU parallel computing. It uses numerous stream processors to perform operations of GPU. The results of experiments show that the parallel computing based on GPU algorithm improve the computing efficiency, and the method can be applied to a variety of time-lapse seismic data cross equalization method. The method proposed in this paper can also be applied to network information dissemination monitoring system, which needs to collect and analyze vast amounts of network information. The parallel computing technology is the primary means to enhance the systematic analysis of performance.