基于微分方程滤波方法的海洋垂直缆波场分离OA

Marine vertical cable seismic(VCS)is an unconventional exploration method that acquires seismic data through vertically deployed hydrophone arrays,enabling high-resolution imaging of subsea geological struc-tures.However,due to the limited number of acquisition channels in the field practice,conventional wavefield separation methods,such as frequency-wavenumber(f-k)filtering and radon transform,often suffer from insuffi-cient spatial sampling,serious dispersion,and waveform distortion,making it difficult to achieve high-precision separation of upgoing and downgoing wave fields.To address this challenge,we introduced a differential-equation-based filtering(DEBF)method for wavefield separation in VCS data processing.The approach involves design-ing a zero-phase filter in the f-k domain,transforming it into the time-space domain,and implementing stable and efficient wavefield separation using finite-difference algorithms.This method demonstrates excellent amplitude fi-delity and adaptability.Tests on both synthetic and real datasets showed that the proposed method could effect-ively separate upgoing and downgoing wavefields even with limited channel counts,which significantly outper-formed conventional techniques in terms of separation quality and reliability.