Seismic data edge detection using multichannel local complex-valued correlation
Wang Jingbo1,2, Wang Shangxu1,2, Yuan Sanyi1,2, Xiao Mengxiong1,2
1. College of Geophysical and Information Enginerring, China University of Petroleum (Beijing), Beijing 102249, China;
2. State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Abstract：The edge detection of seismic data is an effective technique to identify the feature and edge of seismic stratigraphy. Currently, it is mainly performed with coherence algorithm. Different from the conventional coherent algorithms based on real-valued signals, the first step of local complex-valued correlation is to transform a real trace into a normalized complex trace, and then the complex-valued correlation of two adjacent ones at zero lag is performed in a sliding time window. The calculation is simple without the semblance scanning, dip scanning or iteration solution which is necessary for conventional coherence algorithms. The local complex-valued correlation can provide both correlation coefficient attributes used for coherence analysis and phase shift attributes related to the apparent dip, which leads to identify the seismic-geology edge more effectively. And the comparison analysis of correlation coefficient attributes and phase shift attributes can improve the accuracy of seismic edge detection. Furthermore, since the edge anomalies shown by correlation coefficient attributes are not highlighted and the anti-noise ability is weak for local complex-valued correlation using single channel, we proposed an improved multi-channel technique called multi-channel complex-valued correlation to enhance the ability of detecting seismic edge anomalies and anti-noise property. And the proposed multi-channel technique is applied to 3D seismic data as an extension. Test results on synthetic data and field data show the validity of the proposed method.
