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- W4294756039 abstract "Abstract While the single-channel matching pursuit decomposes a seismic trace into a series of wavelets, the multi-channel matching pursuit examines the lateral coherence of the seismic traces as a constraint to improve the lateral continuity of the decomposition. However, the presence of structures in the subsurface negatively affects the performance of the multi-channel matching pursuit. We proposed a structure-adapted matching pursuit method that uses a dynamic time-warping (DTW) algorithm to estimate the similarity between adjacent seismic traces and extract an optimal wavelet along the dip plane. This structure-adapted implementation would significantly speed up the convergence of the decomposition process. We modified the DTW algorithm by combining the Euclidean distance of the seismic trace and the first-order temporal derivative of the seismic trace. We also updated the amplitudes of all extracted wavelets simultaneously using the least-squares principle. This DTW-based, structure-adapted, multi-channel, least-squares matching pursuit would improve the robustness and accuracy of the seismic trace decomposition." @default.
- W4294756039 created "2022-09-06" @default.
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- W4294756039 date "2022-09-06" @default.
- W4294756039 modified "2023-10-16" @default.
- W4294756039 title "Structure-adapted multi-channel matching pursuit for seismic trace decomposition" @default.
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- W4294756039 doi "https://doi.org/10.21203/rs.3.rs-2019957/v1" @default.
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