Quantifying the significance of coherence anomalies

• DOI: 10.1190/int-2015-0102.1
• Publication Date: 2016-04-18T10:44:28Z
• Authors: Tengfei Lin; Thang Ha; Kurt J. Marfurt; Kevin L. Deal
• Keywords: 13. Climate action; 01 natural sciences; 0105 earth and related environmental sciences

Semblance and other coherence measures are routinely used in seismic processing, such as velocity spectra analysis, interpretation to estimate volumetric dip delineate geologic boundaries, poststack prestack data conditioning edge-preserving structure-oriented filtering. Although interpreters readily understand the significance of outliers for amplitude being described by a Gaussian (or normal) distribution, root-mean-square log-normal measurement given is much more difficult grasp. We have followed early work on events seen semblance-based spectra, we an [Formula: see text]-statistic quantify at each voxel. The accuracy resolution these depended bandwidth data, signal-to-noise ratio (S/N), size spatial temporal analysis windows their numerical estimation. In 3D interpretation, low estimated not only noise but also signal, fault planes channel edges. Therefore, S/N product two alternative randomness, first disorder attribute second based eigenvalues window values. fast easy compute, whereas eigenvalue calculation computationally intensive accurate. demonstrated value this measure through application surveys, which modulated our show where discontinuities were significant they corresponded chaotic features.