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Two-dimensional multi-component seismic data migration imaging method and system

A technology of migration imaging and seismic data, applied in the field of seismic exploration, can solve the problems of large approximation errors of migration operators, low resolution, and difficulty in actual production

Active Publication Date: 2019-04-02
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this type of method has obvious theoretical advantages, due to factors such as incomplete and noisy actual seismic data, limited acquisition aperture, drastic changes in medium velocity, and large approximation errors of migration operators, the reverse time migration of elastic wave prestack depth There are obvious acquisition footprints, low resolution, serious artifacts, amplitude imbalance and other problems in the moving profile, which have a great impact on the subsequent data processing and interpretation, making it difficult to be directly used in actual production, and making it difficult to obtain the advantages of multi-component exploration. to play

Method used

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  • Two-dimensional multi-component seismic data migration imaging method and system
  • Two-dimensional multi-component seismic data migration imaging method and system
  • Two-dimensional multi-component seismic data migration imaging method and system

Examples

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Effect test

Embodiment 1

[0155] Example 1: Using a two-dimensional layered medium model to migrate the velocity model

[0156] Figure 2-Figure 3 is the migration velocity model diagram of the two-dimensional layered medium model, figure 2 is the longitudinal wave velocity model, image 3 is the shear wave velocity model. 49 explosion sources are set on this model, the source wavelet is set as Reck wavelet, the main frequency is 20 Hz, the initial source point is located at (150m, 100m), and the shot interval is 100m. The receiving observation system on both sides of the middle shot is adopted, the maximum offset distance of one side is 2000m, the minimum offset distance is 150m, and the track spacing is 10m. Figure 4-7 is the multi-shot stacked migration section of the 2D layered media model: where, Figure 4 is the PP migration profile obtained by the reverse time migration method, Figure 5 is the PS migration profile obtained by the reverse time migration method, Image 6 is the PP offset ...

Embodiment 2

[0157] Example 2: Using the Marmousi-2 Migration Model

[0158] Figure 14-Figure 16 is the Marmousi-2 migration model provided by the present invention, Figure 14 is the longitudinal wave velocity model, Figure 15 is the shear wave velocity model, Figure 16 is a density model. This model is one of the international standard models to verify the imaging effects of various migration methods. 109 explosion sources are set on this model, the source wavelet is set as Lake wavelet, the main frequency is 15 Hz, the initial source point is located at (2550m, 150m), and the shot interval is 200m. The receiving observation system on both sides of the middle shooting is adopted, the maximum offset distance of one side is 2500m, and the track spacing is 10m. Figure 17-Figure 20 is the multi-shot stacked migration profile of the Marmousi-2 model in Fig. Figure 17 is the PP migration profile obtained by the reverse time migration method, Figure 18 is the PS migration profile o...

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Abstract

The invention discloses a two-dimensional multi-component seismic data migration imaging method and system. The method comprises the following steps: constructing a vector wave field continuation operator; constructing a scalar imaging condition based on a vector wave field decomposition operator, establishing a gradient calculation equation; constructing a predicted reflection wave field continuation equation based on a vector and a scalar wave field continuation operator, obtaining a predicted multi-component wave field by utilizing a wave field synthesis operator; and establishing an objective function and an inversion process. The invention introduces least squares inversion into a multi-component data pre-stack depth inverse time migration imaging method, and can obtain a multi-component pre-stack depth inverse time migration profile of high precision, high resolution, high signal-to-noise ratio, and amplitude fidelity by establishing accurate multi-component wave field pre-stackdepth inverse time migration and inverse time inverse migration operators. The migration profile and the multi-component data pre-stack depth reverse time migration have the consistent physical significance, which directly reflects the reflection coefficient information of the longitudinal wave and the converted transverse wave of the underground medium. The method has high imaging precision, amplitude fidelity of the offset profile, and clear physical significance.

Description

technical field [0001] The invention relates to the field of seismic exploration, in particular to a two-dimensional multi-component seismic data migration imaging method and system. Background technique [0002] Seismic exploration method is an important means to study the internal structure of the earth and detect underground resources such as oil and natural gas by using the propagation law of seismic waves in the underground medium. Seismic waves are elastic waves, including longitudinal waves and shear waves, and the two wave types contain different information about the properties of underground media. Restricted by factors such as technical level and economic benefits, for a long time, seismic exploration has mainly been a longitudinal-wave exploration method that only uses longitudinal-wave information, and almost ignores shear-wave information that contains important application values. With the increasing difficulty of oil and gas exploration and the continuous im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28
CPCG01V1/28G01V2210/51G01V2210/74
Inventor 谷丙洛李振春
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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