期刊文献+

基于反馈迭代和独立分量分析的多次波压制技术研究 被引量:2

The Method of Multiple Attenuation Based on Feedback Iteration and Independent Component Analysis
下载PDF
导出
摘要 随着海洋油气勘探的不断深入和勘探目标的日趋复杂化,如何有效的解决多次波的压制问题是目前海洋地震资料处理中的重点和难点。常规的多次波压制技术是基于输出信号能量最小准则进行匹配压制的,这一准则是基于二阶统计量实现的,不能很好的处理有效波和多次波非正交情况下的多次波压制。针对上述问题,本文将基于波动方程的反馈迭代方法与基于高阶统计量的独立分量分析法(ICA)结合起来实现自由表面多次波的压制。首先基于反馈迭代技术实现自由表面多次波的预测,然后基于高阶统计量的快速固定点寻优独立分量分析算法实现多次波和有效波的有效匹配,最终实现多次波的有效压制。资料试算结果表明,本文方法在处理非正交情况下多次波压制时,既能有效的保持有效波的能量,还能实现对于多次波,特别是中、深层多次波的良好压制。 With the development of marine oil and gas exploration and the increasingly complex exploration targets,how to solve the problem of multiple wave suppression is the key and difficult problem in seismic data processing.Multiple suppression technology is the routine matching subtraction criteria based on the minimum output energy of the signal,this criterion is based on two order statistics to achieve the multiple suppression of the effective wave is not very good and many non orthogonal circumstances,and the actual seismic data basically does not meet the primaries and multiples are orthogonal.In order to solve the above problems,the authors combines the feedback iteration method based on the wave equation and the independent component analysis(ICA)based on high order statistics to suppress the multiple waves.Firstly,based on the feedback iteration method,the free surface multiples are predicted.Then,the fast fixed-point optimization ICA method based on higher-order statistics is used to achieve the effective matching of multiples and effective waves.Finally,effective suppression of multiples is ochieved.In this method,the maximum non-Gauss criterion of output signal is used,and the non-Gauss's property is characterized by higher order statistics.The numerical results show that this method is effective for the effective wave and multiple wave and multiple wave can be orthogonal and deep the suppression.
作者 常青 徐秀刚 孙道朋 CHANG Qing;XU Xiu-Gang;SUN Dao-Peng(Key Lab of Submarine Geosciences and Prospecting Techniques.MOE,College of Marine Geosciences,Ocean University of China,Qingdao 266100,China)
出处 《中国海洋大学学报(自然科学版)》 CAS CSCD 北大核心 2018年第10期65-70,共6页 Periodical of Ocean University of China
基金 国家自然科学基金项目(41204088) 国家自然科学基金重点项目(41230318)资助。
关键词 独立分量分析 反馈迭代 自由表面多次波 多次波压制 independent component analysis feedback iteration free surface multiple waves multiple suppression
  • 相关文献

参考文献2

二级参考文献71

  • 1洪菲,胡天跃,张文坡,刘东奇.用优化聚束滤波方法消除低信噪比地震资料中的多次波[J].地球物理学报,2004,47(6):1106-1110. 被引量:46
  • 2王维红,崔宝文,刘洪.表面多次波衰减的研究现状与进展[J].地球物理学进展,2007,22(1):156-164. 被引量:54
  • 3渥·伊尔马滋著.地震资料分析[M].刘怀山,王克斌,童思友,等译.北京:石油工业出版社,2006.725-729
  • 4[1]A. Hyvarinen. Survey on independent component analysis[J]. Neural Computi ng Surveys, 1999,2(1):94-128.
  • 5[2]A.Hyvarinen, E. Oja. Independent component analysis: Algori thm and application[J]. Neural Network, 2000,13(4):411-430.
  • 6[3]C.Jutten, J.Herault. Blind separation of sources, Part Ⅰ: An adaptive algorithm based on neuro mime-tic architecture[J]. Signal Processing, 19 91,24(1):1-10.
  • 7[4]Yin-ming Cheng. Lei Xu. Independent component ordering in ICA tim e series analysis[J]. Neurocomputing, 2001,41(2):145-152.
  • 8[5]T-W.Lee. Independent component analysis: Theory and Application[M]. Dordrecht(The Netherlands): Kluwer Academic Publisher, 1998.
  • 9[6]A.Hyvarinen, E.Oja. A fast fixed-point algorithm for independent compon ent analysis[J]. Neural Computation. 1997,9(7):1483-1492.
  • 10[7]W.B.Rossow, A.Chedin. Rotation of EOFs by Independent component analysis : Towards solving the mixing problem in the decomposition of Geophysical time s eries[J]. J.Atmost.Sci.,2002,59(1):111-123.

共引文献29

同被引文献30

引证文献2

二级引证文献23

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部