Least-squares reverse time migration of multiples
Least-squares reverse time migration of multiples
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DOI：
10.1190/geo2013-0156.1
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发表时间：
2014
期刊：
影响因子：
3.3
通讯作者：
Dongliang Zhang;G. Schuster
中科院分区：
文献类型：
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作者：
Dongliang Zhang;G. Schuster
介绍了多次波最小二乘逆时偏移理论。在该方法中，最小二乘偏移（LSM）被用来成像的自由表面多次波记录的道被用作虚拟源的时间历程在水听器和表面相关的多次波的观测数据。对于单个震源，整个自由面成为扩展的虚拟震源，其中下行自由面多次波比一次波更充分地照亮地下。由于每个记录的轨迹被视为一个虚拟源的时间历史，知识的源小波是不需要的，每个源的环状时间序列自动反卷积。在多次波与一次波完全分离的情况下，对Sigsbee2B和Marmousi2模型合成数据的数值试验表明，与RTMM或标准多次波逆时偏移方法相比，最小二乘多次波逆时偏移方法（LSRTMM）可以显著提高成像质量。
ABSTRACTThe theory of least-squares reverse time migration of multiples (RTMM) is presented. In this method, least squares migration (LSM) is used to image free-surface multiples where the recorded traces are used as the time histories of the virtual sources at the hydrophones and the surface-related multiples are the observed data. For a single source, the entire free-surface becomes an extended virtual source where the downgoing free-surface multiples more fully illuminate the subsurface compared to the primaries. Since each recorded trace is treated as the time history of a virtual source, knowledge of the source wavelet is not required and the ringy time series for each source is automatically deconvolved. If the multiples can be perfectly separated from the primaries, numerical tests on synthetic data for the Sigsbee2B and Marmousi2 models show that least-squares reverse time migration of multiples (LSRTMM) can significantly improve the image quality compared to RTMM or standard reverse time migratio...