An earthquake blind source deconvolution method based on independent component analysis

A technology of independent component analysis and deconvolution, which is applied in the field of geophysical exploration and can solve problems such as reflection coefficient whiteness

Inactive Publication Date: 2013-10-23
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

However, the actual seismic wavelet is often mixed in phase, and the reflection coefficient is not completely white. The assumptions affect the application effect of the traditional deconvolution method to a certain extent, so it is necessary to study the assumptions that are closer to the actual situation or have no assumptions conditional seismic deconvolution

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  • An earthquake blind source deconvolution method based on independent component analysis
  • An earthquake blind source deconvolution method based on independent component analysis
  • An earthquake blind source deconvolution method based on independent component analysis

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[0047] In order to make the above and other objects, features and advantages of the present invention more comprehensible, preferred embodiments are listed below and described in detail in conjunction with the accompanying drawings.

[0048] Such as figure 1 as shown, figure 1It is a flow chart of a specific embodiment of the seismic blind source deconvolution method based on independent component analysis of the present invention. The input seismic data of the blind source deconvolution method based on independent component analysis is the standard SEG-Y format. The method can be applied to two-dimensional or three-dimensional pre-stack data and post-stack data, and the output data format is the standard SEG-Y format.

[0049] In step 101, the seismic data SEG-Y file is read, and a deconvolution calculation time window is designed according to the target layer. The process goes to step 102.

[0050] In step 102, a Gaussian mixture model is used to fit the probability distr...

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Abstract

The invention provides an earthquake blind source deconvolution method based on independent component analysis. The earthquake blind source deconvolution method based on independent component analysis comprises reading earthquake data and designing deconvolution calculation time window according to a target stratum, fitting the probability distribution of an earthquake data reflection coefficient sequence by using a Gaussian mixture model, constructing an optimized object function of an ICA earthquake blind source deconvolution algorithm by selecting negentropy, solving the optimized object function by using an expectation maximization algorithm and acquiring a deconvolution operator satisfying a condition of convergence by using multiple iteration, executing convolution operation of the earthquake data and the deconvolution operator, and outputting the earthquake data undergoing deconvoluteion. The earthquake blind source deconvolution method based on independent component analysis resolves a problem of statistical hypothesis required by a conventional deconvolution method and has advantages of obvious geophysics significance, good preserved amplitude, and high output efficiency.

Description

technical field [0001] The invention relates to geophysical prospecting technology, in particular to a seismic blind source deconvolution method based on independent component analysis. Background technique [0002] The resolution of seismic data is one of the key parameters in the field of geophysical exploration and development, and one of the fundamental issues to improve the ability and efficiency of seismic exploration methods. This issue runs through the entire process of seismic data acquisition, processing and interpretation. Improving the resolution of seismic data has always been a hot and difficult research topic for geophysicists at home and abroad. Corresponding to the same piece of seismic data, higher horizontal and vertical resolution can improve the resolution of smaller geological targets and make microstructures clearer. [0003] Deconvolution processing is one of the most common and important steps in improving resolution in the seismic data processing f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28G01V1/36
Inventor 王胜阁芮拥军王鑫单联瑜邓小刚
Owner CHINA PETROLEUM & CHEM CORP
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