Research Of Pre-stack Gather Optimization Processing Method

Pre-stack gathers have residual noise,and in the case of low resolution,it is necessary to optimize the pre-stack gathers.It optimizes the pre-stack gathers and improves the non-preservation phenomenon in the processing method to achieve high-fidelity pre-stack gather optimization.Try to promote the 2D processing to 3D processing,to maintain spatial continuity,to meet the processing requirements of high-density,wide-azimuth pre-stack data,the main work is as follows:Aiming at the serious problem of pre-stack gather noise pollution,in the face of random noise interference,this paper adopts the amplitude mean threshold method curvelet denoising method to achieve signal-to-noise separation in the curvelet domain,realizing high fidelity in the entire gather.Denoising for linear interference,based on the low frequency constrained high-order Radon transform method,the in-phase axis with AVO effect can be reconstructed,and the spatial aliasing can be effectively avoided.For the noise suppression link from 2D to 3D processing,the consistency of the pre-stack gather space is guaranteed.For the case of low resolution of pre-stack gathers,this paper proposes an inverse Q filtering method based on space-time domain,introduces offset information,compensates the energy in the lateral direction,improves the deep resolution,and recovers the AVO effect on the same axis.Especially at the far offset,the resolution of the pre-stack data is improved.In this paper,the optimization of the gathers is applied to the actual data,noise removal,and topology processing are performed,and the quality of the pre-stack gathers is significantly improved.