保幅最小二乘RTM聚类

Y. He, F. Hao, S. Dong, B. Wang
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引用次数: 1

摘要

最小二乘逆时偏移(LSRTM)解决了复杂地质构造、非均匀采集几何形状和有限记录孔径造成的光照问题。在产生更适合于振幅相对偏移(AVO)分析的图像集时,理论上是准确的。我们利用非平稳匹配滤波器将图像域LSRTM应用于集域,生成幅度保持较好的LSRTM集。提出的流可以应用于偏移和角度集,具有平坦AVO响应偏移,然后偏移。首先,我们用一个声学合成的例子来说明思想并验证结果。然后将其应用于墨西哥湾的宽方位角(WAZ)测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Amplitude Preserved Least-squares RTM Gathers
Least-squares reverse time migration (LSRTM) mitigates the illumination problems caused by complex geologic structures, nonuniform acquisition geometry and limited recording apertures. It is theoretically accurate in producing image gathers more suitable for amplitude versus offset (AVO) analysis. We apply image-domain LSRTM in the gather domain with nonstationary matching filters to generate LSRTM gathers with amplitude better preserved. The proposed flow can be applied on both offset and angle gathers with a flat AVO response demigration followed by a remigration. First, we use an acoustic synthetic example to illustrate the idea and verify the results. Then it is applied to a wide-azimuth (WAZ) survey in the Gulf of Mexico.
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