摘要：While the single-channel matching pursuit decomposes a seismic trace into a series of wavelets, the multichannel 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 multichannel matching pursuit. We proposed a structure-adapted matching pursuit method that combines with 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 based on the least-squares principle. This DTW-based, structure-adapted, least-squares, multichannel matching pursuit method would improve the robustness and accuracy of seismic trace decomposition. ? 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

ISSN号：0033-4553

卷、期、页：卷180期3：851-861

发表日期：2023-03-01

影响因子：0.000000

期刊分区（SCI为中科院分区）：三区

收录情况：SCI（科学引文索引印刷版）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：Pure and Applied Geophysics

参与作者：王仰华

第一作者：赵振聪,饶莹

论文类型：期刊论文

论文概要：赵振聪,饶莹,王仰华，Structure-adapted Multichannel Matching Pursuit for Seismic Trace Decomposition，Pure and Applied Geophysics，2023，卷180期3：851-861

论文题目：Structure-adapted Multichannel Matching Pursuit for Seismic Trace Decomposition