Plane seismic exploration signal decomposition method based on Kriging method

A technology for seismic exploration and signal decomposition, which is applied in seismic signal processing and other directions, and can solve problems such as reducing the accuracy of direction estimation, and generating false images from mathematical transformation methods of discrete signals.

Inactive Publication Date: 2015-05-27
PETROCHINA CO LTD
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Problems solved by technology

Moreover, in the Steerable Pyramid decomposition elbow, whether it is random noise or correlated noise, it will reduce the accuracy of direction estimation.
[0007] The above-mentioned multi-scale and multi-directional image theory method in the transform domain transforms the spatial frequency domain and completes the decomposition according to the spectral

Method used

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  • Plane seismic exploration signal decomposition method based on Kriging method
  • Plane seismic exploration signal decomposition method based on Kriging method
  • Plane seismic exploration signal decomposition method based on Kriging method

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Embodiment 1

[0072] A method for decomposing a plane seismic survey signal based on a kriging method, collecting seismic survey signals, includes the following steps:

[0073] While shortening the calculation efficiency of the experimental variogram, the accuracy of the theoretical variogram is guaranteed, the correspondence between the information of each component and the variogram is solved, and the theoretical variogram of the component is determined. The main methods are:

[0074] Sparse sampling to calculate the experimental variogram of plane attributes, and extract the ellipse part corresponding to the target component on the variogram, including: selecting the direction of the long and short axes, determining the range, and using the least squares method to fit the parameters of a one-dimensional linear model to obtain the length and length. The theoretical variogram in the axial direction, on the premise of geometric anisotropy, fits the two-dimensional linear model parameters to ...

Embodiment 2

[0106] like figure 1 shown, figure 1 This is a flow chart of the signal decomposition method for plane seismic exploration based on the kriging method of the present invention.

[0107] In step 101, the experimental variogram of the seismic attribute slice is calculated, and the display effect is as follows Figure 2a , and go to step 102 .

[0108] In step 102, the main direction of the effective information component is selected on the experimental variogram graph, and the experimental variogram curve in the long axis direction is displayed as follows Figure 2b , adjust the maximum lag distance and the demarcation point, select a model for fitting, do the same processing on the short axis, and go to step 103 .

[0109] In step 103, the result of the two-direction fitting in step 102 is displayed as follows Figure 2c , 2d , Figure 2c Corresponding to the long axis, Figure 2d Corresponding to the short axis, and displaying the variogram curves of the three component...

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Abstract

A plane seismic exploration signal decomposition method based on a Kriging method belongs to the field of exploration geophysics. The method comprises the following steps: acquiring a seismic exploration signal, setting the basic lag distance and the maximum lag distance, and calculating a two-dimensional experimental variation function of a seismic attribute slice to obtain a two-dimensional variation function graph; determining ellipse information corresponding to target information from the variation function graph, extracting experimental variation function curves of long-axis and short-axis directions (respectively corresponding to primary and secondary directions of the target information), and using a theoretical model to perform one-dimensional second-order nested fitting; determining the initial parameters, including sill, long-axis range, ellipse direction and the ratio of long axis to short axis, of the two-dimensional variation function according to the parameters of the separated variation function curves of the primary and secondary directions, tuning parameters, selecting different models (spherical model, exponential model, Gauss model), and making the fitted two-dimensional variation function more consistent with a target signal experimental variation function; and determining a two-dimensional theoretical variation function, substituting the function into a Kriging interpolation equation, and decomposing to obtain the target information.

Description

technical field [0001] The invention relates to a signal decomposition method for plane seismic exploration based on kriging method, belongs to the field of exploration geophysics, is a signal decomposition method for plane seismic exploration based on kriging method, and is an important tool for plane seismic attribute analysis and data processing, Lay the groundwork for subsequent reservoir predictions. Background technique [0002] Plane seismic exploration signals (usually plane seismic attributes) refer to seismic attribute slices extracted along stratigraphic horizons or isochronous slices (time windows) on a 3D seismic data volume, and are mainly used for quantitative seismic facies analysis and reservoir prediction. Due to the influence of the seismic acquisition and observation system, the influence of the quality of the original 3D seismic data and the accuracy of the interpretation horizon, and the constraints of the attribute data extraction method, there are oft...

Claims

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Application Information

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IPC IPC(8): G01V1/28
Inventor 王彦仓秦凤启王孟华陈雪菲郝军郑凯
Owner PETROCHINA CO LTD
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