Adaptive hybrid norm dictionary learning seismic wave impedance inversion method

An adaptive, seismic wave technology, applied in seismology, seismic signal processing, scientific instruments, etc., can solve problems that are difficult to establish, and achieve the effects of reducing multiple solutions, improving noise resistance, and strong robustness

Inactive Publication Date: 2019-01-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, regularized inversion methods all need to artificially pre-set model parameters to obey a specific mathematical model, and this assumption is often difficult to establish in complex geological environments

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  • Adaptive hybrid norm dictionary learning seismic wave impedance inversion method
  • Adaptive hybrid norm dictionary learning seismic wave impedance inversion method
  • Adaptive hybrid norm dictionary learning seismic wave impedance inversion method

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Embodiment Construction

[0062] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0063] see figure 1 , the present invention provides an adaptive mixed norm dictionary learning seismic wave impedance inversion method, which is realized by the following steps:

[0064] Step 1. Input the seismic wavelet and construct the post-stack wave impedance forward modeling model and objective function.

[0065] see figure 2 , step 1 is implemented through the following process:

[0066] Step 11, construct the post-stack wave impedance forward modeling model.

[0067] According to the Robinson convolution model, post-stack seismic traces are expressed as convolutions of wavelets and reflection coefficients

[0068] s(t)=w(t)*r(t)+n(t)

[0069] Among them, s(t) is seismic trace data, w(t) is seismic wavelet, r(t) is formation reflection coefficient, n(t) is random noise. Converting the above formula into matrix form is

[0070] s=Wr

[00...

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Abstract

The invention provides an adaptive hybrid norm dictionary learning seismic wave impedance inversion method, and belongs to the field of seismic inversion. Through the combination of the post-stack wave impedance inversion in exploration geophysics with dictionary learning and denoising, the adaptive denoising and dictionary learning based post-stack wave impedance inversion method can be provided.The method adopts an adaptive hybrid norm objective function to replace an original 2-norm objective function, so that an objective function can better overcome non-gaussian noise; well logging information is introduced through a dictionary learning method, so that influences of different seismic noise can be effectively overcome, and the vertical resolution of inversion can be enhanced by fullyutilizing the well logging information; and compared with traditional methods of least squares, robustness can be stronger, the noise immunity and inversion result precision of the seismic wave impedance inversion can be enhanced, multiple solutions can be reduced, and convenient data processing in geological exploration can be achieved.

Description

technical field [0001] The invention belongs to the field of seismic inversion, in particular to an adaptive mixed norm dictionary learning seismic wave impedance inversion method. Background technique [0002] Seismic wave impedance inversion is the process of imaging the spatial structure and physical properties (wave impedance) of underground strata by using seismic data from surface observations and constrained by known geological laws and drilling and logging data. Seismic inversion provides an important basis for oil and gas exploration and development. [0003] Model-based wave impedance inversion is an important and effective method in seismic inversion. Starting from the initial geological model, the initial model is iteratively updated using the model correction calculated by the residual between the synthetic record and the real record, so that the forward seismic data of the model can best match the actual seismic data, and the final model data It is the invers...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/6226
Inventor 王峣钧林文城厍斌胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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