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Pre-stack seismic parameter inversion method based on anisotropic Markov random field

An anisotropic, pre-stack seismic technology, used in seismology, seismic signal processing, scientific instruments, etc., can solve problems such as instability, ignoring Markov random domain anisotropy characteristics, multi-parameter inversion nonlinearity, etc. , to achieve the effect of good protection

Inactive Publication Date: 2017-07-07
HOHAI UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a pre-stack seismic parameter inversion method based on the anisotropic Markov random field, and solve the problem that the existing method ignores the anisotropy of the Markov random field. Anisotropic characteristics, especially for layered and complex media, there are nonlinear and unstable problems of pre-stack multi-parameter inversion

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  • Pre-stack seismic parameter inversion method based on anisotropic Markov random field
  • Pre-stack seismic parameter inversion method based on anisotropic Markov random field
  • Pre-stack seismic parameter inversion method based on anisotropic Markov random field

Examples

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example 1

[0076] Example 1, synthetic seismic data test:

[0077] Figure 3(a), Figure 3(b), and Figure 3(c) are the theoretical models for synthetic seismic data testing, which are three sets of parameter models of P-wave velocity, S-wave velocity and density.

[0078] The P-wave reflection coefficient of the theoretical model is solved by using the precise Zopritz equation, and then convolved with the zero-phase theoretical Ricker wavelet with a dominant frequency of 45 Hz to obtain the observed seismic records. The observed seismic records have 61 angle gathers, and each gather has 5 angle traces (the angle interval is 3°, and the angle coverage range is 0-15°).

[0079] Establish the data item of the objective function according to the formula (2). The initial model was forward-calculated using the exact Zopritz equation to obtain synthetic seismic records.

[0080] Calculate the weight coefficient of the anisotropic Markov random field according to formulas (3) and (4), use the P-...

example 2

[0087] Example 2, actual seismic data inversion:

[0088] In the actual seismic data, it is a two-dimensional arbitrary line of marine seismic data. There are 1981 angle gathers for this arbitrary line, each gather has 15 angle traces, the angle range is 3–45°, the angle interval is 3°, the trace spacing is 12.5m, and the time sampling rate is 2ms. Establish V using the parameter values ​​of several major formations in the work area P and the initial model of density, ΔL S The initial model is 0.

[0089] The anisotropic Markov weight coefficient is calculated by using the layer velocity of the main strata in the work area. Other parameter settings are the same as Example 1.

[0090] Figure 6(a), Figure 6(b), and Figure 6(c) are the inversion results of actual seismic data, which are the inversion results of P-wave velocity, S-wave velocity and density-velocity respectively. It can be seen that the inversion results better reflect the layered characteristics of the format...

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Abstract

The invention discloses a pre-stack seismic parameter inversion method based on an anisotropic Markov random field. The method comprises: establishing an objective function of a pre-stack seismic parameter; calculating a longitudinal wave reflection coefficient based on a Zoprez equation, and obtaining a data item of the objective function according to 2-norm of an error of between a seismic record obtained by measurement and a synthesized seismic record; acquiring anisotropic Markov random domain weight coefficients of data points in different directions by using an anisotropic diffusion method; acquiring a priori constraint term of the objective function; extracting logging data of a to-be-inverted region and carrying out inversion parameter logarithmic linear fitting on the logging data; determining an objective function and carrying out minimum optimizing based on a rapid simulated annealing algorithm; and completing iterative optimization of the objective function and outputting an inversion result. Therefore, the influence of anisotropy of the stratum on the inversion result can be corrected by using the anisotropic Markov weight coefficients, thereby reflecting the stratiform feature of the strata accurately and protecting the fault and the boundary well.

Description

technical field [0001] The invention relates to a pre-stack seismic parameter inversion method based on an anisotropic Markov random domain, belonging to the technical field of seismic data inversion. Background technique [0002] Seismic inversion is an important means to quantitatively interpret seismic data and predict formation elastic parameters, and is widely used in the exploration and development of oil and gas resources. According to the forward modeling model used in seismic inversion, it can be divided into two categories: wave equation inversion based on wave theory and inversion based on Robinson convolution model. In practical work, the inversion method based on the convolution model is mainly used, which is easy to implement and can meet the accuracy requirements. Prestack seismic inversion is a kind of inversion based on convolution model. It is based on the theory that the amplitude varies with offset, directly uses the information-rich prestack seismic gat...

Claims

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Application Information

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IPC IPC(8): G01V1/28G01V1/30G01V1/36
CPCG01V1/28G01V1/301G01V1/306G01V1/362G01V2210/512G01V2210/6169G01V2210/641G01V2210/642
Inventor 张宏兵郭强尚作萍韩飞龙潘益鑫
Owner HOHAI UNIV
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