Research on Image Processing of Signal-to-Noise Ratio and Resolution Based on Seismic Profile

Abstract

In view of the characteristics of low frequency of seismic data coverage, strong surface interference, low signal-to-noise ratio and low resolution, this paper studies a set of pre-stack combined denoising technology, adaptive predictive deconvolution technology, anisotropic motion Correction and high-precision speed analysis, Kirchhoff restack time migration imaging and other key technologies are the core processing methods. The layer-by-layer similarity learning method is used to reconstruct high-resolution images, especially when the image is enlarged, it can still be clearer. Restore the detailed features of the texture of the seismic profile image. The actual profile test shows that the quality of image reconstruction has been improved, and good results have been obtained in terms of visual effects and peak signal-to-noise ratio.