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Elastic wave least squares reverse time migration method based on regularization constraints

A least squares, reverse time migration technology, applied in seismic signal processing and other directions, can solve problems such as poor edge retention, serious crosstalk noise, and difficulty in obtaining satisfactory results.

Active Publication Date: 2018-07-27
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

Therefore, the existing elastic wave least squares reverse time migration method is often difficult to obtain satisfactory results
Migration profile has low resolution, poor edge retention, and severe crosstalk noise
In addition, as a multi-parameter inversion, the stability of elastic wave least squares reverse time migration needs to be improved

Method used

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  • Elastic wave least squares reverse time migration method based on regularization constraints
  • Elastic wave least squares reverse time migration method based on regularization constraints
  • Elastic wave least squares reverse time migration method based on regularization constraints

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Embodiment Construction

[0106] The present invention will be described in detail below in combination with specific embodiments.

[0107] Such as figure 1 As shown, it is a flow chart of implementing elastic wave least squares reverse time migration based on regularization constraints in the present invention, specifically including:

[0108] (1) Design a new objective function.

[0109] The new objective function includes two terms: the difference between the simulated reflected wave and the observed reflected wave and the regularization term, and the contributions of the two are adjusted by the regularization coefficient.

[0110] (2) Deduce the elastic wave demigration operator and reflection coefficient gradient formula under the new objective function.

[0111] Based on the adjoint method (Adjoint method), the elastic wave adjoint equation / demigration operator and the gradient formula of the objective function to the reflection coefficient are deduced.

[0112] (3) Calculate the gradient of t...

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Abstract

The invention discloses an elastic wave least squares reverse time migration method based on regularization constraints. The method includes the steps of designing a new objective function; deriving an elastic wave back-offset operator and a reflection coefficient gradient formula under the new objective function; calculating a gradient of a reflection coefficient; using a conjugate gradient method or a quasi-Newton inversion algorithm for processing the gradient; using a parabola fitting method for obtaining an iterative step size; updating a reflection coefficient model until convergence conditions are satisfied. The method has the advantage of adopting a new full variation regularization constraint strategy for increasing the imaging resolution and improving the stability.

Description

technical field [0001] The invention belongs to the technical field of seismic wave migration imaging, and relates to improving imaging precision and resolution in the migration of multi-component data in the field of geophysics (especially seismic exploration). Background technique [0002] The most basic purpose of seismic data processing is migration imaging. The quality of imaging directly determines the accuracy of the interface position, the resolution and the signal-to-noise ratio of the section. Migration processing can make the inclined interface homing, diffracted waves converge, and improve lateral resolution. After decades of development, migration technology has moved from post-stack to pre-stack, and from time domain to depth domain. According to the principle of the method, the migration technology is divided into: Kirchhoff migration, F-K migration, one-way wave wave equation migration and reverse time migration (reverse time migration, RTM). Compared with ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
Inventor 任志明李振春孙史磊
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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