L1-2-norm sparse representation for robust prestack gather flattening
Author:
Affiliation:
1. China National Offshore Oil Corporation (CNOOC) Ltd.
2. Chengdu University of Technology
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2020-3427326.1
Reference6 articles.
1. Estimating VP/VS ratios using smooth dynamic image warping
2. Gulunay, N., F. Gamar, H. Hoeber, M. Dyce, C. MacKenzie, and D. Whitcombe, 2007, Robust residual gather flattening: 77th Annual International Meeting, SEG, Expanded Abstracts, 229–233, doi: 10.1190/1.2792416.
3. Hinkley, D., G. W. Bear, and C. Dawson, 2004, Prestack gather flattening for AVO: 74th Annual International Meeting, SEG, Expanded Abstracts, 271–273, doi: 10.1190/1.1839719.
4. Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of $$L_1$$ L 1 and $$L_2$$ L 2
5. Qian, F., L. Chen, F. Zhang, and G. Hu, 2016, Prestack gather flattening using segmental dynamic time warp: 86th Annual International Meeting, SEG, Expanded Abstracts, 592–596, doi: 10.1190/segam2016-13953349.1.
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