Global optimization by simulated annealing for common reflection surface stacking, and its application to low-fold marine data in southwest Japan

Global optimization by simulated annealing for common reflection surface stacking, and its application to low-fold marine data in southwest Japan
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共反射面叠加模拟退火全局优化及其在日本西南部低倍海洋数据中的应用

DOI:
10.1071/eg12008
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发表时间:
2012
影响因子:
0.9
通讯作者:
湊翔平
湊翔平
中科院分区:
地球科学4区
文献类型:
--
作者:
T.Kaneko;M.Tomonaga;兼子峰明・友永雅己;兼子峰明・友永雅己;兼子峰明・友永雅己;湊翔平

文献摘要

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共反射面(CRS)叠加是产生零偏移叠加剖面的一种替代方法,与传统的正常移出(NMO)/倾斜移出(DMO)叠加方法相比,具有更高的信噪比(SNR)。然而,由于传统的三步搜索方法难以确定CRS堆栈方法的全局最优参数,特别是对于复杂结构和低叠次数据,我们研究了模拟退火(SA)优化这些参数估计的能力。我们展示了将SA应用于CRS堆栈方法的详细而实用的程序。本文将带SA的CRS叠加方法应用于数值模拟地震反射数据和日本中构造线(MTL)周围复杂地质构造的多道海洋地震数据。我们使用传统的三步搜索算法的结果作为SA搜索的初始模型,并表明该方法可以在合理的计算次数内准确地估计出CRS参数。采用该方法的CRS叠加方法比传统的NMO叠加方法或传统的CRS叠加方法提供了更清晰的地震剖面,信噪比更高。
The common reflection surface (CRS) stack is an alternative method of producing a zero-offset stacked section with a higher signal-to-noise ratio (SNR) than the conventional normal moveout (NMO)/dip moveout (DMO) stack method. Since, however, it is difficult to determine global optimal parameters for the CRS stack method by the conventional three-step search method, especially for complex structures and low-fold data, we investigate the ability of simulated annealing (SA) to optimise our estimation of these parameters. We show a detailed but practical procedure for the application of SA to the CRS stack method. We applied the CRS stack method with SA to numerically modelled seismic reflection data, and to multichannel marine seismic data over complicated geological structures around the Median Tectonic Line (MTL) in Japan. We used the results of the conventional three-step search algorithm as the initial model for the SA search and showed that with this approach SA can estimate CRS parameters accurately within a reasonable number of calculations. The CRS stack method with this approach provided a clearer seismic profile with a higher SNR than either a conventional NMO stack method or a conventional CRS stack method.