摘要
在地表地形复杂的情况下,静校正不易做好,这是制约山地资料处理质量的一个很重要的因素.复杂地表共反射面元(CRS)叠加不需对叠前数据做静校正,而且在得到叠加剖面后可以利用叠加得到的波场参数剖面实现基准面重建.地震数据的试算表明,复杂地表CRS叠加得出的剖面与常规处理剖面相比有着较高的信噪比和同相轴连续性.与水平地表CRS叠加不同的是,在复杂地表CRS叠加的时距公式中,波场三参数耦合,难以通过简化CRS道集的方法将它们全部分离并逐个优化.引入模拟退火算法后,有效地解决了这一组合优化的难题.
In the condition of rugged surface topography, static correction can' t be done well, which is an important factor that influences the processing quality of seismic data obtained from mountain regions. However, an extension of the CRS stack method that takes into account the effects of the surface topography can process pre-stack data without static correction. Then data redatuming can be performed with the kinematic parameters produced by CRS stack. Seismic data processing indicates that the result of the extension of the CRS stack for rugged surface topography is better than that of conventional stack in the aspect of S/N ratio and the continuity of reflection events. Different from CRS stack for horizontal surface, in the formula of CRS stack for rugged surface topography, the three kinematic parameters are combined. It is very difficult to separate them completely and optimize them in turn by simplifying CRS gather. The introduction of simulating annealing algorithm solves the difficulty in combination optimization effectively.
出处
《地球物理学报》
SCIE
EI
CAS
CSCD
北大核心
2006年第6期1794-1801,共8页
Chinese Journal of Geophysics
基金
国家自然科学基金(40474041)
CNPC中青年创新基金(04E7040)
中原油田博士后科研工作站
CNPC物探重点实验室中国石油大学(华东)研究室资助
关键词
静校正
CRS叠加
波场参数
基准面重建
模拟退火算法
组合优化
Static correction, CRS stack, Kinematic parameters, Data redatuming, Simulating annealing algorithm, Combination optimization