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Robust Wavelet Estimation in Depth Domain Using Tukey NormNormal access

Authors: J. Zhang, X. Chen, W. Jiang and X. Luo
Event name: 81st EAGE Conference and Exhibition 2019
Session: Signal Processing II
Publication date: 03 June 2019
DOI: 10.3997/2214-4609.201901204
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 963.31Kb )
Price: € 20

It is a big challenge to estimate wavelet directly from the non-stationary depth-domain seismic data. Instead of estimating the non-stationary wavelet directly in depth domain, the stationary wavelet can easily be estimated in the constant-velocity depth domain. However, it is still not an easy job for the large sampling number of depth-domain data. Here, we present a wavelet estimation method, which has high computational efficiency and robustness, by using the Tukey norm. The proposed method is tested and verified by using both synthetic data and filed data.

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