| China Aero Geophysical Survey and Remote Sensing Center for Natural Resources | Host |
| 地质出版社 | Publish |
| Citation: |
ZHANG Yan, CAO SiYuan, ZHENG XiaoDong, LU JiaoTong. The application of time-varying wavelet estimation based on high-order cumulants[J]. Geophysical and Geochemical Exploration, 2014, (5): 989-995. doi: 10.11720/wtyht.2014.5.21
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The application of time-varying wavelet estimation based on high-order cumulants
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Abstract
Wavelet estimation is the foundation of high-resolution seismic data processing and interpretation. It is of great significance to estimate the wavelet rapidly and exactly. This paper gets the amplitude spectrum from the trispetrum and phase from the seismic data based on the principle of kurtosis maximum, which avoids phase wrapping properly, and discusses the application condition of this principle. The property of the different window functions is also compared, and Hamming is moved to calculate the time-varying wave-lets. The ricker wavlet model is used which is frequency-changing to illustrate its effectiveness. In the real data processing, the method is comparatively analyzed for the well-seismic calibrated data based on different frequency ricker wavlets. The results show that the esti-mated wavlet amplitude spectrum is more stable, and the phase spectrum can be realized easily and is more consistent with the true wavelet.-
Keywords:
- wavelet estimation /
- trispectrum /
- kurtosis maximum principle /
- time varying wavelet
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ZHANG Yan, CAO SiYuan, ZHENG XiaoDong, LU JiaoTong. The application of time-varying wavelet estimation based on high-order cumulants[J]. Geophysical and Geochemical Exploration, 2014, (5): 989-995. doi: 10.11720/wtyht.2014.5.21
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