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A Regularization Method for High-Dimensional Seismic Data Constrained by Radon Spectrum

A seismic data and spectral constraint technology, applied in seismic signal processing and other directions, can solve problems such as uneven coverage of seismic data, and achieve the effects of solving uneven coverage of seismic data, high computing efficiency, and improving lighting conditions

Inactive Publication Date: 2011-12-21
CHINA NAT OFFSHORE OIL CORP +2
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Problems solved by technology

[0009] Aiming at the above-mentioned prior art, the present invention provides a regularization method for high-dimensional seismic data under the constraint of Radon (Radon) spectrum, which overcomes the spatial aliasing of seismic data in the prior art, and can increase the coverage times of seismic data, thereby improving underground Illumination conditions improve the quality of the final result of migration imaging; in addition, the method of the present invention also solves the phenomenon of uneven coverage of seismic data in the prior art, thereby avoiding the "acquisition footprint" that appears on the imaging section to mislead subsequent earthquakes Technical Issues in Data Interpretation

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  • A Regularization Method for High-Dimensional Seismic Data Constrained by Radon Spectrum
  • A Regularization Method for High-Dimensional Seismic Data Constrained by Radon Spectrum
  • A Regularization Method for High-Dimensional Seismic Data Constrained by Radon Spectrum

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specific example

[0076] Two specific examples of realizing the regularization method for high-dimensional seismic data under the Radon spectrum constraint of the present invention are as follows:

example 1

[0077] Example 1: An experimental example of using the method of the present invention to regularize an analog data body.

[0078] First, a simulation data volume is defined, which contains five linear events with different apparent velocities.

[0079] figure 1 , figure 2 Corresponding to the simulated regular data and irregular data respectively. in, figure 1 is the original rule data; figure 2 yes figure 1 The irregular data volume formed by randomly sampling half of the data in the shown data volume. Depend on figure 2 The spatial coordinate value of each seismic trace in the shown data volume can obtain the covariance matrix C of the data space corresponding to the seismic data D . right figure 2 Radon transformation is performed on the data volume shown to obtain the energy distribution diagram of the data volume in the Radon domain (such as image 3 shown), according to the relationship between the Radon transform and the Fourier transform, the energy dist...

example 2

[0081] Example 2: Using the method of the present invention to carry out regularization processing on offshore 4-dimensional seismic data (co-azimuth data).

[0082] Figure 8 , Figure 9 Represents the original seismic data in the field. Figure 8 Shown is the original co-azimuth gather at a certain CMP point collected at sea; Figure 9 yes Figure 8 Partial zoom in box A. As can be seen, Figure 8 The seismic data volume shown is irregularized.

[0083] A high-dimensional (4-dimensional) Voronoi diagram is constructed from the spatial coordinates (4-dimensional coordinates in this example) of the field seismic data. The covariance matrix C of the data space can be calculated from the obtained Voronoi diagram D .

[0084] Perform linear Radon transformation on the field seismic data to obtain the energy distribution of the seismic data in the Radon domain, and according to the relationship between the Radon transformation and Fourier, convert this energy distribution ...

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Abstract

The invention discloses a method for regularizing high-dimensional seismic data under the constraint of a Radon spectrum. The method comprises the following steps of: acquiring original data of a wavefront of a section of plane wave; calculating a covariance matrix CD of a data space corresponding to seismic data; calculating a covariance matrix CM of a model space among energy of various wave number components in a spectrum of the seismic data (f, k); and constructing a target function by using the covariance matrix CD of the data space and the covariance matrix CM of the model space, and calculating the regularized seismic data. In the invention, the data are not required to be covered uniformly, so the method has higher applicability; false frequency components in the data can be removed effectively under the constraint of the Radon spectrum, so that the space false frequency problem of the data is solved; moreover, the method has higher calculation efficiency and can be applied toactual production more easily.

Description

technical field [0001] The invention relates to a seismic data processing method, in particular to a seismic data regularization method. Background technique [0002] Seismic wave exploration is currently the main method for searching for oil and natural gas. From the seismic wave signals, people can identify the geological structure of underground rock formations, thereby inferring the location of oil and gas fields. Seismic wave migration imaging theoretically requires that seismic data must be equally spaced and free of spatial aliasing in the spatial acquisition of wave fronts, otherwise a lot of migration artifacts and noise will be introduced. However, in the actual construction process in the field, due to the influence of objective factors such as budget and construction environment, the collected seismic data are often at unequal intervals, and there are serious spatial aliases. Migration imaging directly using data collected in the field will introduce very seriou...

Claims

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Application Information

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IPC IPC(8): G01V1/28G01V1/36
Inventor 周东红彭刚沈章洪周滨王玉英王明臣茆利王华忠耿建华王雄文
Owner CHINA NAT OFFSHORE OIL CORP
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