Coherence estimation algorithm using Kendall’s concordance measurement on seismic data
Yang Tao1,2, Gao Jing-Huai1,2, Zhang Bing1,2, and Wang Da-Xing3
1. Institute of Wave and Information, Xi'an Jiaotong University, Xi’an 710049, China.
2. National Engineering Laboratory for Offshore Oil Exploration, Xi'an 710049, China.
3. Exploration and Development Research Institute of Petrochina Changqing Oil Field Company, Xi'an 710018, China.
Abstract The coherence method is always used to describe the discontinuity and heterogeneity of seismic data. In traditional coherence methods, a linear correlation coefficient is always used to measure the relationship between two random variables (i.e., between two seismic traces). However, mathematically speaking, a linear correlation coefficient cannot be applied to describe nonlinear relationships between variables. In order to overcome this limitation of liner correlation coefficient. We proposed an improved concordance measurement algorithm based on Kendall’s tau. That mainly concern the sensitivity of the liner correlation coefficient and concordance measurements on the waveform. Using two designed numerical models tests sensitivity of waveform similarity affected by these two factors. The analysis of both the numerical model results and real seismic data processing suggest that the proposed method, combining information divergence measurement, can not only precisely characterize the variations of waveform and the heterogeneity of an underground geological body, but also does so with high resolution. In addition, we verified its effectiveness by the actual application of real seismic data from the north of China.
This work was supported by the Major Programs of National Natural Science Foundation of China (No. 41390454) and the Major Research Plan of the National Natural Science Foundation of China (No. 91330204).
Cite this article:
. Coherence estimation algorithm using Kendall’s concordance measurement on seismic data[J]. APPLIED GEOPHYSICS, 2016, 13(3): 529-538.
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2016, Vol. 13 
