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自适应倾斜面元叠加
引用本文:李崇荣,李衍达,荣志鹏.自适应倾斜面元叠加[J].清华大学学报(自然科学版),1995(4).
作者姓名:李崇荣  李衍达  荣志鹏
作者单位:清华大学自动化系
摘    要:叠加处理是提高地震资料信噪比的主要手段。动校正处理限制了野外观测系统覆盖次数的增大,从而影响了现有的共中心点(CMP)水平叠加方法的去噪能力。文中提出的自适应面元(ADA)叠加法以面元估计代替点估计,等效地增大覆盖次数,提高了资料的信噪比;自适应地选择面无方向,对资料的剩余动、静校正误差进行补偿;对间断点处进行非线性处理,保持资料的横向分辨率。理论数据和实际数据的实验结果表明,ADA叠加可得到很好的改进效果。

关 键 词:信号处理  地震信号处理  噪声压制

Adaptive dip area stacking
Li Chongrong, Li Yanda, Rong Zhipeng.Adaptive dip area stacking[J].Journal of Tsinghua University(Science and Technology),1995(4).
Authors:Li Chongrong  Li Yanda  Rong Zhipeng
Abstract:Common middle point (CMP) stacking is one of current methods to enhance signal to noise ratio (SNR) of seismic section. Its effectiveness mainly depends on the numberof folds. However, growing the number of folds the offset is increased. Thus, error of thestatic correction and error of the normal moveout correction are greater. Adaptive dip area(ADA) stacking presented in this paper improves CMP stacking in three main aspects: (1)The reflection of a certain point under ground is estimated by a small area (a homogeneousdip segment) so that the number of folds can be increased considerably I (2) The residual error of static and normal moveout corrections is corrected in an adaptive manner j (3) Thenonlinear processing step is included to avoid the smooth effect on faults and pinch out etc.Experiments of synthetic data and real data show that ADA stacking is more effective to enhance SNR than CMP stacking.
Keywords:signal processing  seismic signal processing  noise suppression  image enhancement  
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