Separating Scholte Wave and Body Wave in OBN Data Using Wave-Equation Migration

作者：Chao Li, Yuan Wang, Jinhai Zhang, Jianhua Geng, Qingyu You, Yaoxing Hu, Yuzhu Liu, Tianyao Hao, Zhenxing Yao · 发表于：IEEE Transactions on Geoscience and Remote Sensing · 年份：2022 · DOI：10.1109/tgrs.2022.3169427 · 被引用次数：5 · 研究领域：Seismic Imaging and Inversion Techniques、Seismic Waves and Analysis、Geophysical Methods and Applications

The ocean bottom nodes (OBNs) acquire seismic data at a challenging depth to explore the subsurface structures. The recorded body wave and Scholte wave are highly mixed and are difficult to be separated. The strong body wave would influence the high-order modes extraction using the Scholte wave, while the Scholte wave would degrade the imaging of sedimentary structures using body wave. The lacking of effective methods for separating both waves prevents their application. We developed a migration-based method to accurately separate the Scholte wave and body wave in the OBN data. First, we use high-pass filtering to divide the original OBN data into three parts: background noise, high-frequency body wave, and the mixture of Scholte wave and low-frequency body wave. Then, we separate the Scholte wave and low-frequency body wave using migration and demigration based on the fact that they have different limits of reversible-migration velocity. Finally, we generate the separated body wave by subtracting the Scholte wave from the denoised OBN data. For the off-line data, the local orthogonalization method is required to retrieve the weak leakage of Scholte wave around the apices. Theoretical analyses and numerical experiments show that the proposed method can accurately separate Scholte wave and body wave without any visible artifacts while retaining most of their inherent properties. The separated body wave provides a high-quality input for imaging sedimentary structures, and the s...