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- Title
基于 Chirplet 变换在地震勘探时频域 地层旋回变化识别分析.
- Authors
刘一灼; 汪勇; 桂志先
- Abstract
In response to the problem that seismic wave signals are usually non-stationary, traditional Fourier transform cannot analyze non-stationary signals and cannot reflect the local time-frequency distribution relationship. The advantages and disadvantages of short-term Fourier transform, continuous wavelet transform, and Chirplet transform in analyzing non-stationary signals at single component, second single component, and multi-component instantaneous frequencies were introduced in sequence. The modified kernel function was used to improve the Chirplet transform, effectively improving the time-frequency resolution of the signal to be analyzed. With the increasing difficulty of oil exploration and development, the prediction of thin interbedded reservoirs has gradually become a research focus. Cyclic thin interbedded reservoirs are one of the typical models and also a sedimentary combination of sequence stratigraphy. Compared with the original Chirplet transform and traditional wavelet transform, the improved Chirplet transform can more clearly depict the trend of stratigraphic cycle changes in practical applications, and has important research significance for solving the prediction problem of general thin interbedded sedimentary cycles in the future.
- Publication
Science Technology & Engineering, 2023, Vol 23, Issue 33, p14104
- ISSN
1671-1815
- Publication type
Article