摘要
针对稀疏采样,特别是crossline方向稀疏采样的三维地震数据,提出了一个基于波动方程方法的陡角度构造深度偏移成像方法.文中针对一类混合域(空间和波数)的波动方程偏移方法展开研究.通过建立反假频的单程波算子和通过(形式上)填充空道重建理想采样的地震数据,有效地实现了陡倾角地层的准确成像.这一算法策略解决了波动方程偏移方法在实际应用中的一个关键问题,从而更好地发挥了波动方程偏移方法在复杂构造成像上的优势.二维理论数据(Marmousi模型)和三维实际地震资料成像结果表明本文方法是有效的.这一方法对现行的三维地震数据处理有重要的现实意义.
We propose a wave equation based migration scheme for imaging the steep dipping structures with 3-D sparsely sampling dataset, especially sparsely sampled in the crossline direction. The scheme is developed based on the hybrid domain （wavenumber and space） wave equation based migration methods. The problem for imaging the steep dipping structures can be solved by applying anti-alias one-way propagator together with filling zero traces into the original sparsely sampling data （to generate a dataset with sufficient sampling）. The proposed scheme overcomes a main difficulty when applying wave equation based migration methods to the field data. As a result, good imaging can be obtained for the complex structures by using wave equation based migration methods. The proposed scheme is demonstrated by 2-D Marmousi dataset and 3-D field data. The proposed scheme will be much helpful to the current 3-D dataset processing.
出处
《地球物理学报》
SCIE
EI
CAS
CSCD
北大核心
2006年第5期1452-1459,共8页
Chinese Journal of Geophysics
基金
科技部973项目(2005CB422104)
国家杰出青年科学基金(40225010)资助
关键词
稀疏采样
深度偏移
波动方程方法
Sparse sampling, Depth imaging, Wave equation based migration
作者简介
刘礼农，1974年生，助理研究员，2002年于中国科学院地质与地球物理研究所固体地球物理专业获博士学位，主要从事勘探地球物理学研究．E-mail：lnliu@mail．igcas．ac．cn
