Self-Supervised Shear Wave Noise Adaptive Subtraction in Ocean Bottom Node Data
Lin Chen,
Zhihao Chen,
Bangyu Wu
et al.
Abstract:Ocean Bottom Node (OBN) acquisition is a technique for marine seismic survey that has gained increased attention in recent years. The removal of shear wave noise from the vertical component of receivers plays a crucial role in the subsequent processing and interpretation of OBN data. Previous solutions suffer from noise residue or signal impairment for complex noise and signal overlap scenarios. In this work, we present and explore a self-supervised deep learning approach to attenuate shear wave noise in OBN d… Show more
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