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Seismic signal processing method based on improved FastICA algorithm

A seismic signal and processing method technology, applied in the field of petroleum geophysical exploration, can solve problems such as operation, large difference in convergence times, inability to guarantee convergence speed, different independent components, etc., to improve convergence speed, suppress large-scale random noise, reduce The effect of the number of iterations

Pending Publication Date: 2018-04-20
ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
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Problems solved by technology

The Newton iterative algorithm has the advantages of fast convergence and simple form, but its disadvantage is that it has high requirements for the initial value
The initial weight of the algorithm is generally randomly selected, so the efficiency of each iteration will be different due to the difference in weight, and the independent components obtained will also be slightly different.
If the initial matrix is ​​a random matrix, the calculation and convergence times under different initial matrices are quite different, and a uniform convergence speed cannot be guaranteed.

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  • Seismic signal processing method based on improved FastICA algorithm
  • Seismic signal processing method based on improved FastICA algorithm
  • Seismic signal processing method based on improved FastICA algorithm

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[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

[0046]FastICA is a method for finding non-Gaussian maxima based on fixed-point iterative theory. It can be known from information theory that among all random variables with equal variance, Gaussian variables have the largest entropy, so we can use entropy to measure non-Gaussian properties, and the modified form of entropy is commonly used, namely negative entropy. According to the central limit theorem, if a random variable X consists of many independent random variables s i (i=1,2,…,N) and the composition, as long as s...

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Abstract

The invention discloses a seismic signal processing method and corresponding processing system based on an improved FastICA algorithm. Through maximizing a negative entropy object function, a non-Gaussian maximum value required by observing signal linear projection is searched by using a fixed point iteration theory so as to fulfill an aim of separating signals; an iteration function is correctedby introducing correction factors improved by utilizing a gradient method, and the FastICA algorithm is optimized. According to the improved FastICA algorithm, the sensibility to an initial weight value is reduced, and the iteration times are reduced, so that the convergence speed of the algorithm is improved.

Description

technical field [0001] The invention relates to the technical field of petroleum geophysical exploration, in particular to a seismic signal processing method, and more specifically to the application of an improved FastICA algorithm based on negentropy maximization in pre-stack seismic signal processing. Background technique [0002] The FastICA algorithm, also known as the fixed-point algorithm, was proposed and developed by Hyvarinen, the computer and information science laboratory of the Faculty of Technology, Aalto University, Finland. After years of research and development, the FastICA analysis model has a mature theoretical basis and has been successfully applied in many fields such as biological sciences, wireless communication and information mining. Starting from the independence between the effective signal and the noise, the algorithm uses its unique analysis model to separate the original signal and the noise signal, so as to achieve the purpose of noise reducti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28
CPCG01V1/28
Inventor 高亚力
Owner ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
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