The application of Prony's decomposition in the analysis of seismic signals

The article presents the results of Prony decomposition using real and synthetic data as an example. This decomposition allows us to obtain the following parameters of a seismic record: attenuation, amplitude, frequency, and phase. The attenuation parameter is associated with the characteristics of the rocks in the geological section, in particular, the compaction of the rocks. The results of the study demonstrate a high correlation between the quality factor, which is the inverse of the obtained attenuation value, and the density of the rocks in the section.

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Publication Details

Journal
Russian Journal of geophysical technologies
Published
2025-04-09
DOI
https://doi.org/10.18303/2619-1563-2024-4-75
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

The application of Prony's decomposition in the analysis of seismic signals

Georgy Mitrofanov, D. I. Kostashchuk, A. A. Lisin
Russian Journal of geophysical technologies
Image and Signal Denoising Methods
article

The application of Prony's decomposition in the analysis of seismic signals

Georgy Mitrofanov, D. I. Kostashchuk, A. A. Lisin
article en

Abstract

The article presents the results of Prony decomposition using real and synthetic data as an example. This decomposition allows us to obtain the following parameters of a seismic record: attenuation, amplitude, frequency, and phase. The attenuation parameter is associated with the characteristics of the rocks in the geological section, in particular, the compaction of the rocks. The results of the study demonstrate a high correlation between the quality factor, which is the inverse of the obtained attenuation value, and the density of the rocks in the section.

Russian Journal of geophysical technologies(4)
Novosibirsk State University (RU), Institute of Petroleum Geology and Geophysics (RU), Novosibirsk State Technical University (RU)
Russian Academy of Sciences
Openalex Percentile: Top 94%
Image and Signal Denoising Methods
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