Detection and identification of subsurface anomalous structures is a key objective in seismic exploration. Coherence technique has been successfully utilized to identify geological abnormalities and to detect geological discontinuities, such as the edges of faults and unconformities. After studying the third classical eigenvalue-based coherence algorithm, we propose a new way to construct covariance matrices with the analytic seismic trace. This new covariance matrix converges to the main effective signal energy on the largest eigenvalue by decreasing all other eigenvalues. Compared with the conventional coherence methods, this proposed algorithm has a higher resolution and a better ability of noise immunity. A synthetic data example illustrate that the proposed coherence algorithm favorably alleviates the low-valued artifacts caused by linear and curving dipping strata and reveals the discontinuities. Similarly, the coherence results of 3D real filed commendably suppress noise, eliminate the influence of large dipping strata and clearly highlight discontinuous edges. With the advantages of higher resolution and more robust to random noise, this proposed coherence algorithm successfully achieves the goals of detecting faults and channels.


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