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Seismic signal Q value estimation method based on non-Gaussianity maximization

A seismic signal and Gaussian technology, applied in seismic signal processing, seismology, geophysical measurement, etc., can solve problems affecting attenuation compensation or fluid identification accuracy, reflection coefficient white noise, and Q value estimation accuracy, etc., to achieve effective Good for high resolution, stable Q value distribution, and overcoming instability

Active Publication Date: 2019-01-18
TONGJI UNIV
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Problems solved by technology

However, the above Q value estimation methods all have their corresponding assumptions, such as reflection coefficient white noise, reference standard layer picking, etc., and noise, wave field interference, etc. will affect the estimation accuracy of Q value, and then affect the attenuation compensation or fluid identification. precision

Method used

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  • Seismic signal Q value estimation method based on non-Gaussianity maximization
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  • Seismic signal Q value estimation method based on non-Gaussianity maximization

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Embodiment

[0039] The steps of the estimation method of seismic signal Q value based on non-Gaussian maximization are as follows:

[0040] (1) Study the attenuation process of seismic signals, and analyze the relationship between attenuation signals and non-Gaussian properties;

[0041] (2) Scan the Q value, in order to avoid the influence of the instability of the amplitude compensation on the non-Gaussian, only do the phase correction;

[0042] (3) Calculate the non-Gaussianity of the phase-corrected seismic signal. When the non-Gaussianity is maximized, a stable quality factor Q value estimation result can be obtained, which serves for subsequent attenuation compensation and reservoir fluid identification.

[0043] Due to the heterogeneity and viscosity of the medium, the signal The absorption decay process can be expressed as:

[0044]

[0045] where H(0,ω) is spectrum, is the seismic signal after amplitude attenuation and phase distortion, Q(t) is the quality factor, ω is ...

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Abstract

The invention relates to a seismic signal Q value estimation method based on non-Gaussianity maximization. The method comprises the following steps of S1, obtaining a seismic signal, researching a phase distortion process of the seismic signal, and analyzing a relation between the phase distortion signal and the non-Gaussianity; S2, scanning a quality factor Q value of the seismic signal, and performing phase correction; and S3, calculating the non-Gaussianity of the seismic signal after the phase correction, and when the non-Gaussianity is maximized, taking the quality factor Q value at the moment as an estimation result. Compared with the prior art, the method has the advantages that it is not needed to assume a white noise reflection coefficient or extract a reference wavelet, only theQ value scanning needs to be subjected to the phase correction, and the accuracy of the Q value is measured by utilizing the non-Gaussianity maximization; and stable Q value distribution can be obtained, so that high-resolution seismic data processing and interpretation are facilitated.

Description

technical field [0001] The invention relates to a method for estimating the Q value of seismic signals, in particular to a method for estimating the Q value of seismic signals based on non-Gaussian maximization. Background technique [0002] Due to the influence of the heterogeneity and viscosity of the underground medium, the energy of the deep and shallow layers of the acquired seismic signals is unbalanced, and the vertical resolution is low, which affects the accuracy of fine reservoir description and the development and output of oil and gas reservoirs. Therefore, it is necessary to study the attenuation characteristics of seismic signals and carry out research on the estimation method of attenuation factor (or quality factor Q), so as to provide attenuation information for subsequent high-resolution attenuation compensation, and then serve for high-precision reservoir description and characterization. Traditional Q value estimation methods include time-domain methods a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28G01V1/30
CPCG01V1/282G01V1/30
Inventor 王本锋
Owner TONGJI UNIV
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