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OVT-domain seismic data regularization method based on image processing

A seismic data and image processing technology, applied in seismic signal processing, electrical digital data processing, special data processing applications, etc., can solve problems such as poor interpolation results, and achieve the effect of ensuring correlation

Inactive Publication Date: 2016-01-27
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

However, if the aliasing is severe, the basis of the maximum correlation energy may no longer be the component of the effective signal of the seismic data but an aliasing frequency, and the interpolation result obtained by this method will be poor

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  • OVT-domain seismic data regularization method based on image processing
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  • OVT-domain seismic data regularization method based on image processing

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Embodiment Construction

[0043] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0044] In order to complement the already existing methods, the present method belongs to the third type of methods based on relevant theory. Using POCS (Convex Set Mapping) in image processing technology to carry out data regularization in seismic data based on OVT domain. OVT is the English abbreviation of offset vector bin, and the common understanding should be common offset and common azimuth bin. For a seismic exploration work area, extending each OVT bin to the CDP domain corresponds to a series of CDP gathers with uneven coverage. Due to the lack of collection, some CDPs in this field have no coverage times, and some CDPs may have one or several channels. For a CDP with coverage times, by selecting an optimal trace, a single post-stack profile is produced. Since adjacent traces have substantially the same offset and azimuth, their correlation will be much b...

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Abstract

The invention provides an OVT-domain seismic data regularization method based on image processing, and belongs to the field of seismic data preprocessing in oil and gas exploration and development. The method comprises: (1) preparing high-resolution and high-SNR (signal to noise ratio) seismic shot gather data on which dynamic correction is performed, (2) sorting the input seismic shot gather data into an OVT-domain channel gather according to azimuth angles and offset distances of shot gather heads, and (3) performing POCS regularization of an OVT domain to obtain a common midpoint channel gather after interpolation. Three-dimensional seismic data interpolation is performed by utilizing a POCS method of an image processing field, and a conventional inversion process is preplaced by utilizing the Fourier transform iteration to search an advantageous energy; and the method is performed in the OVT domain, adjacent channels in the domain have the same offset distance and azimuth angle information, and correlation of same-phase shafts can be guaranteed.

Description

technical field [0001] The invention belongs to the field of seismic data preprocessing in oil and gas exploration and development, and in particular relates to an image processing-based OVT domain seismic data regularization method. Background technique [0002] In seismic data acquisition, spatial aliasing frequently occurs due to irregular spatial sampling and excessively large spatial sampling intervals. Because the migration operator cannot eliminate the aliasing frequency caused by spatial sampling, the aliasing energy appears in the section in the form of artifacts, which will mislead the interpretation of the seismic section. In order to realize true amplitude imaging, these aliasing energy must be removed by methods such as seismic data interpolation before migration. In the past time, people have developed many methods to solve the above problems, and these methods can be roughly divided into four categories. [0003] The first category is based on convolution th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36G01V1/30G06F19/00G01V1/34
Inventor 郑小鹏徐兆涛
Owner CHINA PETROLEUM & CHEM CORP
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