Based on the discussion of the applicability and limitations of existing high-resolution processing techniques,we propose a new method based on the quantitative constraint function of high-frequency noises to improve seismic resolution and signal-to-noise ratio in the context of amplitude preservation.In view of the effective bandwidth of poststack seismic data,we formulate the maximum probability cri-terion and quantitative constraint function for iterative high-frequency noise reduction to expand effective frequency band step by step and improve the signal-to-noise ratio of full-band data.Reflection coefficients calculated iteratively are convolved with seismic wavelet to obtain high-resolution seismic data.Compared with other high-resolution processing techniques,our method yields a data volume with high vertical resolution,high dominant frequency,and wide band;effective apparent dominant frequency increases from 50 to 100 Hz,and apparent reso-lution nearly doubles.Based on the frequency data and wave impedance inversion,the qualitative and quantitative prediction of 2～5 meters geological targets is realized,and the verfication test matches with more than 90％of the targets,which effectively guides the well location deployment.This new method performs better than routine techniques in high-frequency signal enhancement within the effective frequency band and thus realizes high-and low-frequency signal reconstruction for full-band data.
high resolutionhigh-frequency noisequantitative constraint function of noiseiterationreflection coefficienteffective bandwidth
维普
万方数据
