Full waveform inversion for combined towed-streamer and ocean buttom node seismic data
Full waveform inversion(FWI)can establish high-precision velocity models of subsurface media.Due to geophone limitations,towed-streamer data often lacks reliable low-frequency components.Conse-quently,FWI based on towed streamer data often encounters the cycle skipping problem,resulting in the objec-tive function converging to a local extremum.Ocean bottom node(OBN)seismic data contains more low-fre-quency components compared to towed-streamer data.Combining OBN data with towed-streamer data in wave-form inversion can compensate for the low-frequency deficiency in towed-streamer data.However,the source wavelet of towed-streamer data is different from that of OBN data,and the joint waveform inversion is more se-verely affected by the source wavelet.This paper proposes a joint waveform inversion method for towed-streamer and OBN data that does not depend on source wavelets.When constructing the objective function,the simulated and observed data are respectively convolved with the average traces of the other,solving the problem of wavelet error in joint waveform inversion and achieving the effect of not relying on the source wavelet.The feasibility and effectiveness of the proposed method are verified through model testing using the Marmousi model synthesized towed-streamer data and OBN data.
full waveform inversionlow-frequencytowed-streamerOBNsource wavelet-independent
万方数据
维普
