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Mixed domain seismic migration Hessian matrix estimation method

A technology of Hessian matrix and seismic migration, which is applied in the field of exploration geophysics, can solve the problems of slow convergence speed and low calculation efficiency of least square migration imaging, and achieves fast convergence speed, high calculation efficiency and good application prospect. Effect

Pending Publication Date: 2021-12-31
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

[0005] In order to solve the above-mentioned technical problems of slow convergence speed and low calculation efficiency in least squares migration imaging, the present invention discloses a mixed-domain seismic migration Hessian matrix estimation method

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  • Mixed domain seismic migration Hessian matrix estimation method
  • Mixed domain seismic migration Hessian matrix estimation method
  • Mixed domain seismic migration Hessian matrix estimation method

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Embodiment Construction

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] Based on the linear inversion framework, least squares migration can eliminate migration artifacts caused by acquisition irregularities, and can improve deep amplitude balance and overall spatial resolution. , but the least squares migration in the conventional data domain gradually approximates the inverse of the Hansen matrix through iterative data fitting. It is still difficult to move towards practical production and application.

[005...

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Abstract

The invention discloses a mixed domain seismic migration Hessian matrix estimation method, and relates to the technical field of exploration geophysics, and the method comprises the steps: firstly obtaining an initial imaging result through employing a conventional migration method, then taking the migration result as a reflectivity model, carrying out the linear forward modeling and migration, and obtaining a secondary imaging result, using the two offset results for estimating an unstable phase filter in a space-wavenumber domain for approximating a Hansen matrix, calculating the inverse of the Hansen matrix by using mixed domain deconvolution, and using the estimated inverse of the Hansen matrix as a functional gradient in least square offset to improve the convergence rate of inversion, so that the inversion accuracy is improved. And the least square inversion is converged to an accurate solution within 4-5 iterations. The method has the advantages that the method is high in calculation efficiency, the least square migration convergence speed can be increased, the calculation cost of least square reflectivity inversion is reduced, and the method has good application prospects.

Description

technical field [0001] The invention relates to the technical field of exploration geophysics, in particular to a method for estimating a mixed domain seismic migration Hessian matrix. Background technique [0002] At present, high-precision seismic migration imaging is one of the important key technologies in oil and gas exploration. Conventional seismic migration methods, including: Kirchhoff migration, Gaussian beam migration, one-way wave migration and reverse time migration, etc., in the mathematical sense The above can be regarded as the adjoint operator of the linear forward simulation, rather than the real inverse operator. Therefore, when the seismic acquisition is irregular, the source and receiver frequency bands are narrow, and the underground illumination is uneven, it is difficult to obtain high-quality imaging results by conventional migration methods based on adjoint operators. The least squares migration based on the inversion framework can gradually approa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30G01V1/34
CPCG01V1/303G01V1/345G01V2210/6222G01V2210/74
Inventor 杨继东张东林黄建平李振春徐洁秦善源
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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