关键词: 谱蓝化')">

谱蓝化, 匹配追踪, 叠后地震,
')">优化谱蓝化算子

Abstract: The traditional spectral blueing frequency broadening methods have a limitation in the calculation of spectral blueing operators, leading to poor effects when applied to post-stack seismic frequency enhancement. To address this, a frequency-division spectral blueing broadening technique based on matching pursuit is proposed. Firstly, the matching pursuit method is employed to accurately divide the post-stack seismic data into multiple frequency-split seismic bodies. Then, during the calculation of the spectral blueing operators for each frequency band, a weighting approach is introduced to determine the weights of the optimized spectral blueing operators for each frequency band based on the differences in energy across different frequency bands. Finally, the optimized spectral blueing operators are convolved with seismic reflection coefficients to obtain high-resolution seismic data. Actual tests on post-stack seismic data demonstrate that, compared with traditional spectral blueing methods, the frequency enhancement method proposed in this paper improves the high-frequency component information of post-stack seismic data. After frequency expansion, there are more seismic event axes and  the  resolution is higher. Through a series of operations such as attribute extraction, well seismic calibration, and inversion of the seismic data before and after processing, it is verified that the high-frequency components of the frequency-enhanced seismic data are effective and can more accurately delineate faults and identify thin-layer sand bodies.

Key words: spectral blueing, matching pursuit, post-stack seismic, optimized spectral blueing operators