An Iterative Zero-Offset VSP Wavefield Separating Method Based on the Error Analysis of SVD Filtering
发布时间：2025-04-30
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- 发布时间：
- 2025-04-30
- 论文名称：
- An Iterative Zero-Offset VSP Wavefield Separating Method Based on the Error Analysis of SVD Filtering
- 发表刊物：
- IEEE Geoscience and Remote Sensing Letters
- 摘要：
- Wavefield separation is one critical step in the vertical seismic profiling (VSP) data processing. In this paper, we present an iterative zero-offset VSP wavefield separating method based on analyzing the error of the singular value decomposition (SVD) lowpass filtering. The error of the SVD lowpass filtering can be divided into the incomplete error and the truncated error. The incomplete error is caused by the incompleteness of subspace, while the truncated error is related to discarding small singular values and corresponding eigenimages. Flattening the strongly correlated component in the 2D signal can reduce these two errors, and the flattened component can be extracted precisely with the SVD lowpass filtering. The zero-offset VSP dataset in seismic data processing records downgoing and upgoing wavefield which have different propagating directions. By flattening the downgoing and upgoing wavefield alternatively, we propose one iterative zero-offset VSP wavefield separating method. In each iteration, we first flatten the downgoing wavefield to increase its correlation and estimate the downgoing wavefield by using the SVD lowpass filtering, then we flatten the upgoing wavefield in the residual to increase its correlation and estimate the upgoing wavefield by using the SVD lowpass filtering. The proposed method is applied to one synthetic dataset and one real zero-offset VSP dataset. Compared with the commonly used wavefield separation method, our method can have better separation results and reduce the separation error.
- 合写作者：
- Xiaokai Wang(#), Jianyou Chen, Lei Gao, Wenchao Chen(*)
- 是否译文：
- 否
- 发表时间：
- 2018-05-03