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Oblique stacking peak amplitude portion edge detecting method for event automatic picking

An edge detection method and peak amplitude technology, which is applied in the field of edge detection method at the peak amplitude of oblique superposition, can solve the problems of poor noise immunity, low precision, and difficulty in picking up continuous events, etc., and achieve the effect of suppressing noise and convenient operation

Active Publication Date: 2015-06-17
XI AN JIAOTONG UNIV
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Problems solved by technology

The existing event picking methods include manual picking method and automatic picking method, etc. The manual picking method has slow calculation speed, low precision, and is affected by subjective factors; automatic picking methods include cross-correlation method, pattern recognition method, neural network method, etc. , these methods are difficult to pick up continuous events, and have poor noise immunity

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  • Oblique stacking peak amplitude portion edge detecting method for event automatic picking
  • Oblique stacking peak amplitude portion edge detecting method for event automatic picking
  • Oblique stacking peak amplitude portion edge detecting method for event automatic picking

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Embodiment Construction

[0036] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0037] The invention is used for the edge detection method at the peak amplitude of the oblique superimposition automatically picked up by the event axis, such as Figure 4 As shown, it includes the following steps:

[0038] (1), using wavelet transform calculation to obtain the analytical part of the signal, wherein the pre-stack CSP data is used as the original signal;

[0039] (2) Calculate the instantaneous amplitude of the signal according to the analytical part:

[0040] A(t)=|s(t)+i·H[s(t)]| (1)

[0041] in, H [ s ( t ) ] = Im [ ∫ - ∞ ∞ S ( b ...

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Abstract

The invention provides an oblique stacking peak amplitude portion edge detecting method for event automatic picking. The method comprises the steps that 1. pre-stacking CSP data are used for wavelet transforming, and a signal analysis part is obtained; 2. according to the analysis part obtained in the step 1, signal instant amplitude is obtained; 3. local linear Radon conversion is carried out on a profile of the instant amplitude, the peak amplitude of instant amplitude is picked, and an oblique stacking peak amplitude profile is obtained; and 4. based on the oblique stacking peak amplitude profile, an edge detection profile is obtained, and event and travel time picking is carried out on the edge detection profile. Oblique stacking conversion is carried out on an instant amplitude profile, the instant amplitude profile is smooth compared with original seismic recording, a plurality of low-frequency components are contained, a part of high-frequency glitch noise can be filtered away, and the event positions of the two parts are the same. Noise is effectively suppressed, the problem that continuous events cannot be picked in a large offset distance easily through an existing method is overcome, operation is convenient, and event automatic picking is achieved.

Description

technical field [0001] The invention relates to the technical field of seismic exploration, in particular to an edge detection method at the peak amplitude of inclined stacking for automatic event picking. Background technique [0002] Travel time is one of the important parameters of attenuation and velocity tomography, we need to pick up the travel time of reflected waves at different offsets of each event, including events at large offsets. It can be seen that the premise of traveltime picking is event picking, which is also one of the important steps in seismic interpretation. However, due to the influence of noise, the signal-to-noise ratio of the gathers at large offsets is low, and it is difficult to pick up continuous events. In order to pick up the correct reflected wave travel time, we need to pick up continuous events within a large offset range, so as to read the travel time of the corresponding ray from the record. Events play an important role in seismic data...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28
Inventor 高静怀赵静
Owner XI AN JIAOTONG UNIV
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