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首页> 外文期刊>Acta Geophysica >Stratigraphic absorption compensation based on multiscale shearlet transform
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Stratigraphic absorption compensation based on multiscale shearlet transform

机译:基于多尺度小波变换的地层吸收补偿

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Seismic waves propagating through viscoelastic media experience stratigraphic absorption and attenuation effects, which directly affect the imaging resolution in seismic exploration. Without stratigraphic absorption, the ratio of deep reflection energy to shallow reflection energy (attenuation ratio) is invariable at different frequencies. If a seismogram is decomposed into different frequency bands, these signals will show similar timea??energy distributions. Therefore, the attenuation ratios should be similar across different frequency bands, except for frequency-variable weights. Nevertheless, the frequency-variable weights for different frequency bands can be obtained by benchmarking against the timea??energy distributions of low-frequency information because the loss of low-frequency information is relatively insignificant. In this light, we obtained frequency-variable weights for different frequencies and established a stratal absorption compensation (SAC) model. The anisotropic basis of the shearlet enables nearly optimal representation of curved-shape seismic signals, and shearlets at different scales can represent signals for different frequency bands. Then, we combined the SAC model with the shearlet transform and established the new compensation method. As the signal and noise have different distributions in the shearlet domain, we selectively compensated the signals using a thresholding algorithm. Hence, it was possible to avoid noise enhancement. This is the prominent advantage of the proposed method over other compensation methods.
机译:通过粘弹性介质传播的地震波会受到地层吸收和衰减的影响,直接影响地震勘探中的成像分辨率。如果没有地层吸收,则深反射能量与浅反射能量之比(衰减比)在不同频率下是不变的。如果将地震图分解成不同的频带,这些信号将表现出相似的时间-能量分布。因此,除频率可变权重外,衰减率在不同频带上应相似。然而,由于低频信息的损失相对不重要,所以可以通过对低频信息的时间能量分布进行基准测试来获得不同频带的频率可变权重。鉴于此,我们获得了不同频率的频率可变权重,并建立了地层吸收补偿(SAC)模型。剪力波的各向异性基础使曲线形地震信号几乎可以最佳表示,并且不同尺度的剪力波可以表示不同频带的信号。然后,我们将SAC模型与剪切波变换相结合,建立了新的补偿方法。由于信号和噪声在小波域中具有不同的分布,因此我们使用阈值算法选择性地补偿了信号。因此,可以避免噪声增强。与其他补偿方法相比,这是该方法的突出优势。

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