Petroleum Science >2012,??Issue 2:??170-181 DOI: https://doi.org/10.1007/s12182-012-0197-6
Phase spectrum estimation of the seismic wavelet based on a criterion function Open?Access
文章信息
作者：Yu Yongcai,Wang Shangxu,Yuan Sanyi and Qi Pengfei
作者单位：
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China;State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China;State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China;School of Geophysics and Geoinformation Technology, China University of Geosciences, Beijing 100083, China
投稿时间：2011-07-29
引用方式：Yu, Y., Wang, S., Yuan, S. et al. Pet. Sci. (2012) 9: 170. https://doi.org/10.1007/s12182-012-0197-6
文章摘要
Phase spectrum estimation of the seismic wavelet is an important issue in high-resolution seismic data processing and interpretation. On the basis of two patterns of constant-phase rotation and root transform for wavelet phase spectrum variation, we introduce six sparse criteria, including Lu’ simproved kurtosis criterion, the parsimony criterion, exponential transform criterion, Sech criterion, Cauchy criterion, and the modified Cauchy criterion, to phase spectrum estimation of the seismic wavelet, obtaining an equivalent effect to the kurtosis criterion. Through numerical experiments, we find that when the reflectivity is not a sparse sequence, the estimated phase spectrum of the seismic wavelet based on the criterion function will deviate from the true value. In order to eliminate the influence of non-sparse reflectivity series in a single trace, we apply the method to the multi-trace seismogram, improving the accuracy of seismic wavelet phase spectrum estimation
关键词
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Seismic wavelet, phase spectrum, criterion function, sparse