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Seismic Discontinuous Detection Using Dual-Tree Complex Wavelet TransformNormal access

Authors: Y. Liang, Z. Wang, X. Li, Z. Gao, Y. Xu, S. Zhang and Y. Cai
Event name: 81st EAGE Conference and Exhibition 2019
Session: Poster: Signal Processing A
Publication date: 03 June 2019
DOI: 10.3997/2214-4609.201901381
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 770.84Kb )
Price: € 20

Summary:
Wavelet transform is an effective way to detect seismic discontinuous structures. Dual-tree complex wavelet transform is a computationally efficient approach and gives good directional selectivity in multi-dimensional signals processing. It hasn’t been applied in seismic discontinuous detection. We proposed a workflow based on dual-tree complex wavelet transform and hard thresholding method. The workflow is applied to an octagon model and field data. The results show its good performance on edge detection and small texture extraction.


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