An Information Entropy Filter and Random Noise Attenuation Method for Seismic Data

Active Publication Date: 2018-12-07
XI AN JIAOTONG UNIV
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Problems solved by technology

[0006] The conventional filtering operation method is usually mainly aimed at attenuating one type of noise. When two kinds of noise are contained at the same time, the above method cannot take into account the attenuation of both noises at the same time.

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  • An Information Entropy Filter and Random Noise Attenuation Method for Seismic Data
  • An Information Entropy Filter and Random Noise Attenuation Method for Seismic Data
  • An Information Entropy Filter and Random Noise Attenuation Method for Seismic Data

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Embodiment Construction

[0053] see figure 1 , the present invention defines a new filter called information entropy filter, which can simultaneously attenuate impulse noise (also called salt and pepper noise in image processing) and Gaussian white noise two types of random noise.

[0054] The information entropy filter of the present invention is specifically, according to information statistics theory, Shannon entropy is the most commonly used information entropy, suppose X is the collection of random variable x, s 0 is a random variable in the random variable x, then X Shannon entropy H(X) is expressed as follows:

[0055]

[0056] Among them, N is the number of random variables x, and P(x) is the probability density function.

[0057] Define W(x) as the weight of the random variable x in the set X, which is calculated by the following formula:

[0058] W(x)=-P(x)log 2 [P(x)]-(1-P(x)) log 2 [1-P(x)] (2)

[0059] Then, after normalizing the weight W(x) of the random variable x, the weight co...

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Abstract

The invention discloses an information entropy filter and a seismic data random noise attenuation method. The method includes the following steps: (1) calculating the gradient structure tensor; (2) calculating the formation transverse discontinuity measure; (3) determining threshold parameters; (4) selecting structural adaptive filter scale parameters; and (5) processing an information entropy filter. Based on the attenuation of both impulse noise and stochastic Gaussian white noise, a new filter is defined, namely, an information entropy filter. By combining the gradient structure tensor, linear confidence measure and structural adaptive filtering, the impulse noise and random noise in seismic data can be effectively attenuated, the spatial coherence of seismic events can be enhanced, andsignals, faults, fractures and other strata edge and detail signal structures can be protected. The technical scheme is easy to implement, and has strong operability.

Description

technical field [0001] The invention belongs to the technical field of seismic exploration and relates to noise attenuation technology, in particular to an information entropy filter and a random noise attenuation method for seismic data. Background technique [0002] Noise attenuation and improvement of seismic data signal ratio are very important tasks in the process of seismic exploration (such as data processing). For example, in the field data collection, follow-up seismic data processing and interpretation need to be considered in every link question. Random noise in seismic records is usually caused by random noise in multi-seismic records. Random noise is usually an irregular interference wave generated by a variety of factors. It is randomly distributed in the time and space domains of seismic records. Its frequency band is relatively wide and completely covers the effective wave. band. With the continuous improvement of oil and gas exploration, the interpretation...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/36
Inventor 高静怀杨涛张兵
Owner XI AN JIAOTONG UNIV
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