Abstract：Reverse-time migration (RTM) has been widely applied for imaging complex structures,and it is playing an important role in exploring complex structures. RTM needs high-quality raw seismic data,precise velocity models and RTM algorithm. In order to reduce to the effects of near surface anomaly,avoid the cyclic skip arising out of conventional full waveform inversion (FWI),and improve SNR,we developed several preprocessing and FWI technologies,and built a new RTM workflow including surface-consistent phase correction of spatial wavelets,near-surface Q compensation,pattern-based adaptive ground roll attenuation and pattern-based adaptive waveform inversion (PAWI). These technologies can provide high-quality seismic data,high-precision and high-resolution velocity models,and consequently improve the image of geological structures. Data from several wells have proved these technologies effective to improve RTM imaging.
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