Residual amplitude compensating method based on AVO

Abstract

The invention discloses a residual amplitude compensating method based on an AVO. The method comprises the steps of performing pre-stacking on a CRP gather, calculating parameters, calculating the amplitude of each time window in sliding time windows, calculating time-varying amplitude attenuation curve of signals of (2j+1) ways in the CRP gather, giving a certain way interval increment, judging whether the increment is within the offset distance range or not, if the increment is within the offset distance range, repeatedly executing the step (c), if the increment is not within the offset distance range, executing the next step (e), calculating space-varying amplitude attenuation curves in the different offset distances, obtaining the processed gather amplitude, getting the corresponding incident angle and the corresponding amplitude value of the offset distance, utilizing least square fit for getting coefficients R, W and V, redefining the relation between the offset distance and the amplitude, and compensating and correcting a target way. Excluding fitting is performed on remoulded seismic data, the precise real amplitude effective signals are obtained, and therefore it is ensured that the relation of the pre-stacked data amplitude along with geophone offset changes is obtained, and good foundation is established for subsequent pre-stacking AVO attribute extraction and AVO inversion.

Description

technical field [0001] The invention relates to a seismic signal processing method, in particular to a residual amplitude compensation method based on AVO features. Background technique [0002] In recent years, the exploration of lithologic reservoirs has become more and more important. Seismic data processing not only requires high imaging precision, but also has higher and higher requirements for amplitude-preserving processing precision. At the same time, seismic data reservoir prediction technology, especially pre-stack attribute technology and pre-stack inversion technology have been greatly developed, and the optimization of CRP gathers has been paid more and more attention. It is generally recognized that the signal-to-noise ratio of CRP gathers, wavelet consistency, incident angle range, unevenness of gathers, and stretching distortion of far-track motion correction have a great impact on the effect of pre-stack inversion. Set for targeted optimization. The purpos...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a residual amplitude compensation method based on AVO characteristics, which solves the inaccurate problem of being affected by random noise in different degrees in the current compensation methods, and achieves the purpose of accurately compensating the amplitude

Images