强相关干扰的自动追踪消除法
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摘要
在信号分析中 ,有一类强相关干扰在频率上与有效信号相近 ,能量比有效信号更强 ,通常所用的频率滤波等方法都难以消除干扰。作者在本文中针对这种强相关干扰的特点提出了一种自动追踪消除法 ,即首先自动追踪相关干扰的方向 ,然后恢复其能量 ,再从实际获取的信号中减去相关干扰能量 ,即可得到所需的有效信号的能量。该方法在几个石油勘探地区的二维和三维地震资料中进行了应用 ,并获得了成功。作者在文中最后显示了一个地区的试算效果
In the signal analysis, there is a kind of correlation interference, of which frequency is close to the available signals and its energy is stronger than them. It is quite difficult to eliminate this kind of correlation interference by common method such as frequency filtering. In this paper, author presents an automatic tracing method to solve the problem. First the direction of the correlation interference is automatically traced and its energy is recovered. Then the interference is deducted from the practical measured signals to obtain the energy of the signals. This method has been successfully applied in 2-dimension and 3-dimension seismic data processing in several oil fields. One of examples is given in the paper.
In the signal analysis, there is a kind of correlation interference, of which frequency is close to the available signals and its energy is stronger than them. It is quite difficult to eliminate this kind of correlation interference by common method such as frequency filtering. In this paper, author presents an automatic tracing method to solve the problem. First the direction of the correlation interference is automatically traced and its energy is recovered. Then the interference is deducted from the practical measured signals to obtain the energy of the signals. This method has been successfully applied in 2-dimension and 3-dimension seismic data processing in several oil fields. One of examples is given in the paper.
引文
[1] 钟本善,何昌礼,杨忠民.复杂构造地区的SVD去噪技术[J].成都理工学院学报,2000,27(1):93.
[2] 何昌礼,周熙襄.用奇异值分解法分离VSP上、下行波场[A].地球物理技术汇编(第18辑).石油地球物理勘探局,1992,39.
[3] 谢凤兰,赵改善.利用SVD法重建地震剖面[J].石油物探,1990,29(4):33.
[4] 阮百尧,葛为中.奇异值分解法与阻尼最小二乘法的对比[J].物探化探计算技术,1997,19(1):46.
[5] 陈遵德,殷天友,朱广生.SVD滤波方法的改进与应用[J].石油地球物理勘探,1994,29(6):783.
[6] FreireS L M,UrrychT J.Application of singular value decomposition to vertical seismic profiling[J].Geophysics,1988,53(6):778.
[7] JacksonG M,MasonI M,GreehalghS A.Principle com ponent transform s of triaxal recordings by singular value decomposition[J].Geophysics,1991,56(4):528
[2] 何昌礼,周熙襄.用奇异值分解法分离VSP上、下行波场[A].地球物理技术汇编(第18辑).石油地球物理勘探局,1992,39.
[3] 谢凤兰,赵改善.利用SVD法重建地震剖面[J].石油物探,1990,29(4):33.
[4] 阮百尧,葛为中.奇异值分解法与阻尼最小二乘法的对比[J].物探化探计算技术,1997,19(1):46.
[5] 陈遵德,殷天友,朱广生.SVD滤波方法的改进与应用[J].石油地球物理勘探,1994,29(6):783.
[6] FreireS L M,UrrychT J.Application of singular value decomposition to vertical seismic profiling[J].Geophysics,1988,53(6):778.
[7] JacksonG M,MasonI M,GreehalghS A.Principle com ponent transform s of triaxal recordings by singular value decomposition[J].Geophysics,1991,56(4):528
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