Parallel algorithm of amplitude correction for time-lapse seismic data based on GPU

Cross equalization is the core step of time-lapse seismic data processing, it can effectively eliminate the influence which is due to the inconsistent of acquisition, data processing and tube processing parameter. As the amount of data and processing of time-lapse seismic data increasing, it becomes the inevitable trend for seismic data to array on massively parallel processes. It deal with the time-lapse seismic data base on the parallel processing of GPU, means transferring the existing serial of amplitude correction to parallel algorithms that can be executed on the GPU. Experimental results show that the algorithm can obtain a good result, as well as significantly improve the speed and precision of amplitude correction.