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Seismic section enhancement method based on compressed sensing theory

A technology of compressed sensing and seismic section, applied in the direction of seismic signal processing, etc., can solve problems such as complicated calculation, difficulty in extracting wavelet data, and unsatisfactory processing effect, so as to achieve good effect and avoid complicated calculation process Effect

Inactive Publication Date: 2019-06-28
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0013] For the existing methods for improving the resolution of seismic sections, the calculation is too complicated and limited to the overall matching of seismic data, it is often difficult to extract accurate wavelet data, and the processing effect is not ideal

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  • Seismic section enhancement method based on compressed sensing theory
  • Seismic section enhancement method based on compressed sensing theory
  • Seismic section enhancement method based on compressed sensing theory

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Embodiment Construction

[0026] A thin layer fast identification method based on compressive sensing theory. The specific implementation steps are as follows:

[0027] Step 1: Norm L of the data to be processed 0.8 Constrained reflection coefficient inversion, which separates the noise and reflection coefficient from the original seismic data to remove the noise and retain the reflection coefficient;

[0028] ① For seismic traces, the single-channel received signal can be expressed as:

[0029] y=Φ*x+n

[0030] The above formula can be expressed in the frequency domain as:

[0031] Y=WX+N=WFx+N

[0032] where Y is the seismic data, W is the seismic wavelet, x is the seismic reflection coefficient, and n is the noise. F is the Fourier transform matrix.

[0033] ② To solve the above formula, use L for the noise part p (01 Formal combinatorial constraint solving:

[0034] min‖X‖ 1 s.t.‖WX-Y‖ p <σ(0

[0035] If the seismic wavelet W satisfies the finite isometric property (RIP), then the o...

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Abstract

The invention, which belongs to the field of fine characterization of oil and gas geophysical reservoirs, provides a seismic section enhancement method based on the compressed sensing theory. The method comprises the following steps: step one, carrying out reflection coefficient inversion calculation under norm L1-L0.8 joint constraints on to-be-processed data; step two, synthesizing a reflectioncoefficient by using well data and selecting an optimal wavelet capable of distinguishing a target stratum; and step three, carrying out convolution on the reflection coefficients in the previous twosteps and the wavelet to obtain a new section. Therefore, noises are removed by using the compressed sensing; and a problem that an accurate wavelet matrix can not be established because the observation matrix establishment way of the existing compressed sensing technology is not mature is solved. The method has the following beneficial effect: a problem that a thin layer can not be tracked accurately because of low resolution in the seismic data is solved rapidly and efficiently by combining the well data.

Description

technical field [0001] It belongs to the field of fine characterization of oil and gas geophysical reservoirs. It is a method to quickly improve post-stack seismic resolution by using compressive sensing theory, and quickly and efficiently solve the problem that thin layers cannot be accurately tracked due to insufficient resolution in seismic data. Background technique [0002] In oil and gas geophysical exploration, as the exploration target shifts to thin reservoirs, small fault blocks. Improving the seismic resolution to accurately describe the target horizon is the premise of oil and gas exploration, and it is of great significance for attribute extraction and inversion quantitative calculation. [0003] (1) The technical terms involved [0004] (1) Seismic resolution: refers to the maximum ability of seismic data to distinguish the thickness of thin strata. Seismic record resolution includes horizontal and vertical resolution. This article only refers to vertical reso...

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Application Information

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IPC IPC(8): G01V1/28G01V1/36G01V1/30
Inventor 熊晓军黄劲陈容
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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