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Seismic attribute multi-source information fusion method

A technology of multi-source information fusion and seismic attributes, applied in the field of information fusion, can solve difficult problems in attribute analysis, and achieve the effect of reducing ambiguity, improving success rate and improving reliability.

Inactive Publication Date: 2014-06-04
CHENGDU UNIVERSITY OF TECHNOLOGY
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  • Abstract
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AI Technical Summary

Problems solved by technology

Although some attributes seem to provide different information on the lateral variation of the target area, they still contain redundant information, which makes the attribute analysis more tricky

Method used

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  • Seismic attribute multi-source information fusion method
  • Seismic attribute multi-source information fusion method
  • Seismic attribute multi-source information fusion method

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Embodiment Construction

[0040] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0041] The present invention is composed of the following cores: data standardization, RPCA transformation fusion, and wavelet transformation fusion.

[0042] Flow chart of seismic attribute multi-source information fusion technology:

[0043] Multi-source information fusion technology is composed of multi-source information (data) standardization technology, relative principal component analysis method and wavelet transform fusion method. Its technical route is as figure 1shown. Depend on figure 1 It can be seen that relative transformation or traditional normalization is used to standardize the attribute data volume to obtain the standardized attribute data volume, and then RPCA or wavelet transform can be selected to perform fusion processing on the standardized two-dimensional or three-dimensional attribute dat...

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Abstract

The invention discloses a seismic attribute multi-source information fusion method. By the adoption of the seismic attribute multi-source information fusion method, contradiction among multiple attributes can be solved, and a new attribute data body is generated. Compared with a single attribute comparison method, the method is more direct and more effective. Compared with a simple attribute synthesis method, the method is more accurate and scientific. According to the seismic attribute multi-source information fusion method, RPCA conversion fusion and wavelet transform fusion can be selected according to different conditions, advantages of information characteristics contained in all seismic attribute data are combined organically through the RPCA and wavelet transform, different fusion rules can be selected by the wavelet transform, comparison and analysis of fusion results obtained with different methods can be achieved, useful information in the data are fully used, the confidence coefficient is increased, the ambiguity is lowered, and the system predication reliability is improved.

Description

technical field [0001] The invention belongs to the technical field of information fusion and relates to a seismic attribute multi-source information fusion method. Background technique [0002] Information Fusion Technology (Information Fusion Technology) refers to the technology that combines multiple observation results of the same target into one fusion result to replace multiple observation results. [0003] With the development of sensor technology, microelectronics technology, communication technology and computer technology, a variety of multi-sensor systems for complex application backgrounds emerge as the times require, so that the amount of information and data obtained for the target continues to increase. The large amount of data we obtain for complex targets is diverse and complex, and it is a difficult problem and hot research in the field of information processing to make full use of these multi-sensor data. [0004] Fusion technology is a processing method ...

Claims

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Application Information

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IPC IPC(8): G01V1/28G01V1/30
Inventor 李勇郭彪李琼朱颜
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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