A Seismic Data Processing Method Based on Adaptive Gain-Limited Inverse-Q Filtering

Abstract

The invention discloses a seismic data processing method based on adaptive gain limit and inverse Q filtering. The method comprises the following steps: S1, inputting all seismic data; S2, selecting one path of seismic data as an input signal, and solving the cut-off frequency of the effective frequency band of the input signal at different time points through time-frequency analysis; S3, calculating corresponding adaptive gain limits according to the cut-off frequencies of the effective frequency bands at different times to obtain an amplitude compensation function; S4, selecting an implementation mode of absorption attenuation compensation according to the quality of the input signal; S5, summing absorption attenuation compensation results along the frequency direction to obtain a compensated time domain signal; and S6, repeating the steps S2 to S5, and compensating each path of seismic data contained in the seismic data in sequence. According to the invention, the amplitude compensation function can be flexibly adjusted and the implementation mode of absorption attenuation compensation can be reasonably selected as required, and the adaptive gain limit can be adapted to the cut-off frequency of the effective frequency band of the seismic data, so that the resolution of the seismic data is improved.

Description

Technical field [0001] The invention belongs to the field of seismic data digital processing, and more particularly to a seismic data treatment method based on adaptive gain limit anti-Q filtering. Background technique [0002] When the seismic wave is propagated in the formation, it is necessary to subjected to the energy attenuation and speed of the formation Q filtering to the seismic wave and the frequency of frequency and propagation time; therefore, the seismic wave resolution is gradually decreasing, and the phase distortion is getting closer. Therefore, we can use anti-Q filtering to improve the resolution of seismic data. [0003] For anti-Q filtering, this method can effectively correct the phase of distortion, but there is unconditionally stable, but the amplitude compensation function is a function related to frequency and travel, often causes numerical non-stability during data processing. The problem is difficult to obtain high resolution results. [0004] In order ...

AI Technical Summary

Problems solved by technology

The inverse Q filter of the stability factor method can control the problem of numerical instability, but the gain limit of the above method is time-invariant and has nothing to do with seismic data; if the gain limit is too small, the deep resolution will decrease; if the gain limit is too large, increase resolution while amplifying high-frequency noise

Images