Speed analyzing precision improving method in low SNR (signal to noise ratio) earthquake data processing

A technology of velocity analysis and seismic data, applied in seismic signal processing and other directions, which can solve the problems of high professional level requirements and low efficiency of personnel

Inactive Publication Date: 2019-03-05
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

However, the efficiency of this method is relatively low. The projection and drawing of structural interpretation horizons on the stacked section requires the participation of int

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  • Speed analyzing precision improving method in low SNR (signal to noise ratio) earthquake data processing
  • Speed analyzing precision improving method in low SNR (signal to noise ratio) earthquake data processing
  • Speed analyzing precision improving method in low SNR (signal to noise ratio) earthquake data processing

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Embodiment 1

[0029] In this embodiment, the method for improving the accuracy of velocity analysis in low signal-to-noise ratio seismic data processing (see the technical flow diagram figure 1 ), including the following steps:

[0030] 1) The low signal-to-noise ratio 2D seismic line data in a complex work area, after conventional processing such as pre-stack noise suppression and static correction, the CDP gather data were obtained (see figure 2 ), making a velocity spectrum (see image 3 , image 3 B is the velocity spectrum, and the middle line is the velocity picked up when performing velocity analysis based on the velocity spectrum, image 3 A is the superposition segment of the velocity picked up by the CDP gather corresponding to the map B), and the velocity spectrum is used for velocity analysis to obtain the velocity model A. The superposition section obtained by applying the velocity model A to the conventionally processed CDP gather data Figure 8 Middle A;

[0031] 2) Use ...

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Abstract

The invention discloses a speed analyzing precision improving method in low SNR earthquake data processing, and belongs to the fields of petroleum and natural gas exploration investigation and earthquake data processing. Primary speed analysis is carried out by taking CDP gather data with routine processing, an obtained speed model is used to normal moveout correction on a gather, F-K domain signals in the gather are enhanced after normal moveout correction, the speed model is used to carried out reverse normal moveout correction, an output CDP gather is used to make a speed spectrum and usedfor new speed analysis, and an obtained new speed model is combined with the original CDP gather data to carry out subsequent superposition. Via the method, an energy group of the speed spectrum of speed analysis can be converged relatively, a more accurate speed model is obtained, and the imaging precision of earthquake data is improved. Change of the CDP gather data for speed spectrum preparation does not influence subsequent processing.

Description

technical field [0001] The invention relates to a method for improving velocity analysis precision in low signal-to-noise ratio seismic data processing, belonging to the field of oil and gas exploration investigation and seismic data processing. Background technique [0002] At present, the focus of seismic exploration has shifted to complex areas, and the acquisition of seismic data in complex areas is very complicated. Due to the variety of terrain, the surface undulations are relatively large, and strata of different geological ages and lithologies are exposed on the surface, which has a great impact on the acquisition work. influences. Moreover, most of the collected seismic data have problems such as low signal-to-noise ratio, which will directly affect the accuracy of velocity analysis in seismic data processing. Velocity analysis, dynamic and static correction, stack imaging and migration homing are the key links in seismic data processing. Among these four links, s...

Claims

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Application Information

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IPC IPC(8): G01V1/30
Inventor 李斌商建立孔剑冰司卫王雷李秋菊万程城
Owner CHINA PETROLEUM & CHEM CORP
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