Partition denoising method and device based on near-surface type

Abstract

The invention provides a partition denoising method and device based on near-surface types. The method comprises the steps that the near-surface types of a work area for seismic data acquisition are acquired, and geodetic coordinates corresponding to all the near-surface types are determined; determining a near-surface type corresponding to each shot point according to geodetic coordinates of the shot points in the seismic data acquisition work area; and determining a denoising mode and a denoising parameter of each near-surface type, and performing partition denoising based on the denoising mode and the denoising parameter. According to the invention, effective wave information can be protected from loss while interference is removed, so that the de-noising efficiency and the de-noising effect are improved.

Description

technical field [0001] The invention relates to the technical field of seismic exploration, in particular to a method and device for denoising based on near-surface type partitions. Background technique [0002] In the original single shot data obtained by seismic acquisition, there are various types of interference waves such as surface waves, shallow refracted waves, acoustic waves, outliers, and random noises, among which the most important are surface wave interference and shallow refracted waves. The existence of these interferences seriously reduces the signal-to-noise ratio of seismic data, and has a great impact on seismic data processing such as deconvolution, velocity analysis, stacking and migration, and must be removed before seismic data processing such as deconvolution. [0003] The denoising technology in the process of conventional seismic data processing is mainly based on the characteristics of various interfering waves in amplitude, frequency, apparent vel...

AI Technical Summary

Problems solved by technology

In fact, the appearance of surface waves and shallow refracted waves, which are the most influential among various interference waves, has a great correlation with the near-surface situation, and the same denoising method and denoising method are used for all original single shots Firstly, the workload is large and the work efficiency is low, and secondly, while the interference is removed, part of the effective wave information is lost (because the surface waves and shallow refracted waves in different near-surface types are different in frequency and apparent velocity. There will be obvious differences in aspects, and when using a unified denoising parameter, it will inevitably take care of one and lose the other, and it is difficult to take both into account), it is difficult to achieve the denoising effect of preserving amplitude and fidelity

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