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A seismic waveform clustering method and device

A technology of seismic waveforms and clustering methods, which is applied in seismology, measuring devices, seismic signal processing, etc., can solve problems such as the inability to guarantee clustering reliability and noise resistance at the same time, achieve the removal of noise and redundant information, and ensure Effects of noise immunity and reliability assurance

Active Publication Date: 2020-10-30
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

[0008] The purpose of the present invention is to provide a seismic waveform clustering method and device, which can strengthen quality monitoring, optimize component screening ideas, remove noise strong points, and ensure the noise resistance and reliability of clustering results when preprocessing seismic data It solves the problem that the existing seismic waveform clustering methods cannot guarantee the reliability and noise resistance of clustering at the same time

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  • A seismic waveform clustering method and device
  • A seismic waveform clustering method and device
  • A seismic waveform clustering method and device

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Embodiment Construction

[0042] Taking the seismic waveform clustering of karst reservoirs at the top of the Leikoupo Formation in western Sichuan as an example, the present invention will be further described in conjunction with the accompanying drawings. The implementation method of the present invention is as figure 1 As shown, the target interval is the top of the Leikoupo Formation, including the following steps:

[0043] 1. Spectrum analysis is performed on the seismic data volume of the target interval. By analysis results figure 2 It can be seen that the main frequency band of the seismic data volume at the top of the Leikoupo Formation in this area is 4-39 Hz, and the judgment standard is the frequency range when the amplitude energy intensity drops to half of the maximum value; the center frequency is 21.5 Hz.

[0044] 2. Perform Synchro Squeezing Transform (SST) channel by channel on the seismic channel signals at the top of the Leikoupo Formation in the target layer in the work area, an...

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Abstract

The invention relates to a seismic waveform clustering method and device, and belongs to the field of basic application of seismic prospecting. A synchronous extrusion and transformation method is fully used to decompose seismic data into intrinsic mode function components, and the number and frequency band scope of the intrinsic mode components are customized according to frequency spectrum features of different seismic data and different segments; and the intrinsic mode components are optimized, and the high-frequency component with much noise is de-noised rather than being abandoned directly. The decomposition algorithm and component processing ideals are improved, so that key information can be reserved or strengthened more effectively, and noise and redundancy information are removedmore effectively. Effective quality monitoring can be provided, the screened / abandoned components and reconstructed seismic data body can all form graphs for quality monitoring in the reconstruction process, whether the removed components all reduce to noise or redundancy information and whether body frequency band information is reserved are detected, and the waveform clustering reliability is improved greatly.

Description

technical field [0001] The invention belongs to the basic application field of seismic exploration, and in particular relates to a seismic waveform clustering method and device. Background technique [0002] Seismic waveform is a comprehensive attribute parameter, which contains information such as amplitude, frequency, phase, geometric shape, etc. It can be used for cluster analysis to reflect the real underground geological situation more reliably; but the same seismic waveform also contains a lot of noise and redundancy. As a result, the clustering results are seriously disturbed by noise and the resolution is low. [0003] Unsupervised seismic waveform clustering is a widely used seismic facies analysis method, which plays an important role in seismic sedimentary facies analysis and reservoir prediction. A common method is to input seismic waveforms into a self-organizing neural network (Self-Organizing Map, SOM) for learning (Learning) and then clustering. [0004] Th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/624
Inventor 杜浩坤蔡其新汪功怀万龙郑玲晋达汪露露付东阳
Owner CHINA PETROLEUM & CHEM CORP
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