A coherence algorithm based on Spearman’s rank correlation
Xiao Fan, Qi Wang, Kaiyuan Liu, Min Li, Pu Liu · 2018
Coherence attributes are effective tools to delineate and detect discontinuous geological phenomena and changes of underground geological entities, such as faults/fractures, channels, salt domes etc. The third generation coherence algorithm (C3) uses linear correlation to describe the relationship between seismic traces. However, the relationship between seismic data is actually nonlinear. In order to describe the correlation between seismic traces more accurately, a nonlinear correlation method—the Spearman’s rank correlation coefficient—is introduced instead of linear correlation in C3. Theoretical studies have proved in this paper that Spearman’s rank correlation coefficient is more sensitive than linear correlation to the changes of wavelet waveform and more accurate in measuring the difference of waveform similarity. Applications have also confirmed that the coherence algorithm based on Spearman’s rank correlation has a higher resolution in charecterizing discontinuous features. Moreover, it can enhance low coherence regions, and presents interpreters with a greater level of detail about the seismic data. Presentation Date: Tuesday, October 16, 2018 Start Time: 8:30:00 AM Location: 210A (Anaheim Convention Center) Presentation Type: Oral