摘要
非线性复扩散(NCD:Nonlinear Complex Diffusion)能针对不同结构特征调节扩散强度,有效压制地震勘探随机噪声。但沙漠地震勘探数据结构复杂,NCD方法不能有效估计出同相轴方向,会导致同相轴衰减。为此,基于同相轴结构特征提出自适应结构方向复扩散(ASOCD:Adaptive Structure-Oriented Complex Diffusion)滤波算法,该算法沿同相轴方向定向复扩散,在压制随机噪声同时增强有效信号。此外,该算法利用地震勘探数据的区域特性自适应调节扩散阈值,在信号区域减小扩散阈值以更好地恢复地震勘探信号。合成和实际沙漠地震数据结果验证了所提方法的有效性,与NCD方法相比,滤波后信噪比提高了6 d B左右。
NCD (Nonlinear Complex Diffusion) can adjust the diffusion intensity according to different structural features and effectively suppress the random noise in seismic data. However, the morphology of desert seismic data is complex, so that the NCD method is unable to effectively estimate the direction of the reflection event, leading to the attenuation of the reflection event. Aiming at this problem, an ASO CD ( Adaptive Structure- Oriented Complex Diffusion) algorithm is proposed based on the structural features of the reflection event. The oriented complex diffusion is performed along the direction of refection event to suppress the random noise and enhance the effective signal. And the proposed algorithm adaptively adjusts the diffusion threshold according to the regional characteristics of seismic data, thus better recovers the seismic signal using a small diffusion threshold for the signal region. The results of the synthetic and real desert seismic data verify the effectiveness of the proposed method, and the proposed method can increase the SNR ( Signal-To-Noise Ratio) of filtered data by 6 dB more than the NCD method.
作者
林红波
张丹丹
LIN Hongbo;ZHANG Dandan(College of Communication Engineering,Jilin University,Changchun 130012,China)
出处
《吉林大学学报（信息科学版）》
CAS
2019年第5期463-469,共7页
Journal of Jilin University（Information Science Edition）
基金
国家自然科学基金资助项目(41774117)
吉林省科技发展计划基金资助项目(20170101167JC)
关键词
非线性复扩散
局部协方差矩阵
定向复扩散
沙漠随机噪声
地震勘探
nonlinear complex diffusion ( NCD )
local covariance matrix
oriented complex diffusion
desert random nose
seismic exploration
