Nonstationary phase estimation using regularized local kurtosis maximization
Nonstationary phase estimation using regularized local kurtosis maximization
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DOI：
10.1190/1.3213533
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发表时间：
2009-12
期刊：
影响因子：
3.3
通讯作者：
M. Baan;Sergey Fomel
中科院分区：
文献类型：
--
作者：
M. Baan;Sergey Fomel
相位失配有时发生在最终处理的地震剖面和基于测井记录的零相位合成之间-尽管尽最大努力进行受控相位采集和处理。即使地震子波的相位是非平稳的，通过恒定相位旋转使用峰度最大化来统计估计地震子波的相位也是可行的。我们铸造的相位估计问题到一个优化框架，以提高稳定性的早期方法的基础上分段平稳性假设。估计后，我们实现了空间和时间变化的零相位旋转。
Phase mismatches sometimes occur between final processed seismic sections and zero-phase synthetics based on well logs — despite best efforts for controlled-phase acquisition and processing. Statistical estimation of the phase of a seismic wavelet is feasible using kurtosis maximization by constant-phase rotation, even if the phase is nonstationary. We cast the phase-estimation problem into an optimization framework to improve the stability of an earlier method based on a piecewise-stationarity assumption. After estimation, we achieve space-and-time-varying zero-phasing by phase rotation.