Simultaneous seismic data de-aliasing and denoising with a fast adaptive method based on hybrid wavelet transform

IF 1.8 3区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Geophysical Prospecting Pub Date : 2024-07-23 DOI:10.1111/1365-2478.13574
Peng Zhang, Xiaoying Han, Changle Chen, Xinming Liu
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Abstract

Missing data and random noise are prevalent issues encountered during the processing of acquired seismic data. Interpolation and denoising represent economical solutions to address these limitations. Recovering regularly missing traces is challenging because of the spatial aliasing, and the extra difficulty is compounded by the presence of noise. Hence, developing an effective approach to realize denoising and anti-aliasing is important. Projection onto convex sets is an effective method for recovering missing seismic data that is typically used for processing data with a good signal-to-noise ratio. The computational attractiveness of the projection onto convex sets reconstruction approach is compromised by its slow convergence rate. In this study, we aimed to efficiently implement simultaneous seismic data de-aliasing and denoising. We combined a discrete wavelet transform with a seislet transform to construct a hybrid wavelet transform. A new fast adaptive method based on the fast projection onto convex sets method was proposed to recover the missing data and remove random noise. This approach adjusts the projection operator and iterative shrinkage threshold operator. The result is influenced by the threshold value. We enhanced the processing accuracy by adopting an optimal threshold strategy. Synthetic and field data tests indicate the effectiveness of the proposed method.

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基于混合小波变换的快速自适应方法同时对地震数据进行去锯齿和去噪处理
缺失数据和随机噪声是处理获取的地震数据时普遍遇到的问题。插值和去噪是解决这些限制的经济解决方案。由于存在空间混叠,恢复有规律的缺失地震道极具挑战性,而噪声的存在更是雪上加霜。因此,开发一种有效的方法来实现去噪和抗混叠非常重要。投影到凸集是恢复缺失地震数据的有效方法,通常用于处理信噪比良好的数据。投影到凸集重建方法的计算吸引力因其收敛速度慢而大打折扣。在本研究中,我们的目标是高效地同时实现地震数据去锯齿和去噪。我们将离散小波变换与小波变换相结合,构建了一种混合小波变换。我们提出了一种基于凸集快速投影法的新型快速自适应方法,用于恢复缺失数据和去除随机噪声。这种方法调整了投影算子和迭代收缩阈值算子。结果受阈值的影响。我们通过采用最佳阈值策略提高了处理精度。合成数据和实地数据测试表明了所提方法的有效性。
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来源期刊
Geophysical Prospecting
Geophysical Prospecting 地学-地球化学与地球物理
CiteScore
4.90
自引率
11.50%
发文量
118
审稿时长
4.5 months
期刊介绍: Geophysical Prospecting publishes the best in primary research on the science of geophysics as it applies to the exploration, evaluation and extraction of earth resources. Drawing heavily on contributions from researchers in the oil and mineral exploration industries, the journal has a very practical slant. Although the journal provides a valuable forum for communication among workers in these fields, it is also ideally suited to researchers in academic geophysics.
期刊最新文献
Issue Information Simultaneous inversion of four physical parameters of hydrate reservoir for high accuracy porosity estimation A mollifier approach to seismic data representation Analytic solutions for effective elastic moduli of isotropic solids containing oblate spheroid pores with critical porosity An efficient pseudoelastic pure P-mode wave equation and the implementation of the free surface boundary condition
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