In two-dimensional oil and gas exploration,the wide spacing between seismic traces in field data acqui-sition is often constrained by factors such as field construction conditions and cost-effectiveness.Such seismic records are prone to spatial aliasing,leading to a decrease in the signal-to-noise ratio of their frequency velocity spectra.To address this issue,this paper proposes utilizing the excellent time-frequency analysis characteristics of wavelet transform to perform wavelet-based inter-traces interpolation on densely sampled records.This is done to en-hance the accuracy of high-frequency information of Rayleigh surface waves in P-SV converted wave seismic data,thereby improving the accuracy of inverting near-surface shear wave velocity structures and enhancing the static correc-tion accuracy of P-SV converted waves.Verification calculations on theoretical models and actual data demonstrate that the wavelet-based interline interpolation method exhibits anti-aliasing properties,resulting in clearer inflection points in the dispersion curves of Rayleigh surface waves and a more concentrated energy in the high-frequency range.The accuracy of the inverted shear wave velocity is higher,achieving good results.
关键词
大道距采样/小波变换/道内插值/瑞利面波/P-SV利静校正
Key words
large spacing sampling/wavelet transform/in-channel interpolation/Rayleigh wave/P-SV converted wave static correction
维普
万方数据