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A Multi-level Particle Filter Algorithm Based on Improved Firefly Step Size Factor

A particle filter algorithm and step size factor technology, applied in the field of seismic survey, can solve problems such as rough model and large influence

Active Publication Date: 2021-07-06
JILIN UNIV
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Problems solved by technology

Since the model established by using the original noisy data is relatively rough, it is greatly affected by noise.

Method used

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  • A Multi-level Particle Filter Algorithm Based on Improved Firefly Step Size Factor
  • A Multi-level Particle Filter Algorithm Based on Improved Firefly Step Size Factor
  • A Multi-level Particle Filter Algorithm Based on Improved Firefly Step Size Factor

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Embodiment Construction

[0052] The flow chart of the technical solution of the present invention is as figure 1 As shown, a multi-stage particle filter algorithm based on the improved firefly step size factor is characterized in that it includes the following steps:

[0053] S1: Use the time-varying autoregressive model (AR) to model the seismic data in sections to obtain the state equation of the system, the error and the data length T, and set the error generated by the modeling as the process noise in the sampling equation;

[0054] S2: From the initial probability density Sampling N particles, the weight of each particle is 1 / N, to get the particle set ,.

[0055] S3: According to the state equation obtained by modeling: Perform sampling update to get a new set of particles: . in, represents the particle at time t , y represents the observed value, and q is the reference distribution, that is, the modeled state equation.

[0056] S4: According to the likelihood function Calculate ...

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Abstract

This application discloses a multi-level particle filter algorithm based on the improved firefly step size factor. The method modifies the brightness formula and position update formula in the firefly particle filter algorithm, and uses the adaptive step size firefly algorithm for iterative update, and The result is multi-stage filtered. This application uses the adaptive step size firefly algorithm to drive particles with small weights to move to high likelihood areas, which reduces the problem of particle degradation, achieves higher filtering accuracy with fewer particles, and saves computing resources.

Description

technical field [0001] The invention relates to the field of seismic survey, in particular to a multi-stage particle filter algorithm based on the improved firefly step size factor. Background technique [0002] Seismic exploration is based on the differences in the structural properties of underground rock formations. Artificial methods are used to generate seismic waves on the surface. Through observation and analysis of the response of seismic waves propagating underground, it is a detection method to infer the structure, material, composition and evolution of underground strata. An important means of oil, natural gas and other resources, it plays a vital role in oil field and engineering geological exploration, regional geology and crustal research. The seismic exploration process includes field seismic data acquisition, indoor data processing, and seismic record interpretation and analysis. In the first stage of field seismic data acquisition, the staff first selects a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/36G06N3/00
CPCG01V1/364G01V2210/324G06N3/006
Inventor 于涵王典张敬权滕明刘财赵军李鹏刘元骐
Owner JILIN UNIV
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