Inverse Q filtering method for seismic wave signal

Abstract

The invention provides an inverse Q filtering method for a seismic wave signal. The method comprises the following steps: extracting a quality factor Q value from the seismic wave signal collected from a seismic channel; performing time-frequency transformation on the collected seismic wave signal so as to acquire a seismic wave frequency spectrum shown in the specification, wherein tau is a travel-time and omega is an angular frequency; and performing inverse Q filtering on the seismic wave frequency spectrum by utilizing the following formula shown in the specification, so as to acquire the seismic wave frequency spectrum U (tau, omega) after inverse Q filtering, wherein gamma is equal to 1 / (phiQ); omega h is the highest frequency within the seismic bandwidth; sigma 2 is a stable factor; i is an imaginary part unit; tau' in exponential terms is an integration variable, and the value range of the integration variable is within an integrating range from omicron to tau; and the quality factor Q is related to the integration variable tau'. The high-frequency component is not pressed in the stabilizing treatment process in the inverse Q filtering method provided by the invention, so the inverse Q filtering method has the advantages that the resolution ratio is increased but the high-frequency noise is not increased, and the signal to noise ratio (SNR) is increased.

Description

technical field [0001] This application relates to the field of seismic signal processing. Background technique [0002] Seismic wave attenuation is an important attribute of the underground medium. Due to the viscoelasticity of the formation, when the wave propagates in it, the energy attenuation and velocity dispersion of the wavelet are caused, which causes the amplitude attenuation and phase distortion of the waveform, and changes, delays and stretches the seismic wavelet. , reducing the resolution of the seismic record. For this propagation effect of waves, it is usually measured by the quality factor Q. The Q value is an important parameter for estimating the absorption and attenuation of seismic waves in the propagation path. [0003] In order to facilitate imaging and reservoir description, inverse Q filtering is usually used in seismic signal processing to compensate for the propagation effect of received seismic signals. Inverse Q filtering is an effective method...

AI Technical Summary

Problems solved by technology

[0026] The present invention aims at the problem that the inverse Q filtering method in the prior art increases high-frequency noise during the stabilization process, and provides a method for performing inverse Q filtering on seismic wave signals. There is no high-frequency suppression in the middle, which improves the signal-to-noise ratio of the inverse Q filter process

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