Improved eigenvalue-based coherence algorithm with dip scanning

Yan, Binpeng, Yuan, Sanyi, Wang, Shangxu, OuYang, Yonglin, Wang, Tieyi and Shi, Peidong ORCID: https://orcid.org/0000-0001-5782-245X 2017. Improved eigenvalue-based coherence algorithm with dip scanning. Geophysics 82 (2) , 1MA-Z12. 10.1190/geo2016-0149.1

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Abstract

Detection and identification of subsurface anomalous structures are key objectives in seismic exploration. The coherence technique has been successfully used to identify geologic abnormalities and discontinuities, such as faults and unconformities. Based on the classic third eigenvalue-based coherence (C3 ) algorithm, we make several improvements and develop a new method to construct covariance matrix using the original and Hilbert transformed seismic traces. This new covariance matrix more readily converges to the main effective signal energy on the largest eigenvalue by decreasing all other eigenvalues. Compared with the conventional coherence algorithms, our algorithm has higher resolution and better noise immunity ability. Next, we incorporate this new eigenvalue-based algorithm with time-lag dip scanning to relieve the dip effect and highlight the discontinuities. Application on 2D synthetic data demonstrates that our coherence algorithm favorably alleviates the low-valued artifacts caused by linear and curved dipping strata and clearly reveals the discontinuities. The coherence results of 3D real field data also commendably suppress noise, eliminate the influence of large dipping strata, and highlight small hidden faults. With the advantages of higher resolution and robustness to random noise, our strategy successfully achieves the goal of detecting the distribution of discontinuities.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Earth and Environmental Sciences
Publisher:	Society of Exploration Geophysicists
ISSN:	0016-8033
Date of Acceptance:	28 October 2016
Last Modified:	11 Feb 2025 13:30
URI:	https://orca.cardiff.ac.uk/id/eprint/175375

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