Prestack inversion has an extensive application in the hydrocarbon and fluid prediction.Inversion algorithms as well as the quality of input seismic data often exhibit direct impacts on its accuracy.At the same time,prestack inversion mainly uses prestack migration seismic data.The effect of seismic imaging and the quality of CRP gather as the basic data of prestack AVO/AVA inversion has a great influence on the inversion results.In this paper,the S area of Daqing oilfield was taken as an example.There are plenty of problems in Kirchhoff integral prestack time migration gather,such as low signal-to-noise ratio,strong random noise energy,internal multiple and uneven energy between traces.In order to effectively carry out prestack inversion calculation,the authors take into account the acquisition and processing parameters of seismic data and consider that a series of seismic data pre-processing should be carried out to solve these problems in seismic survey.On the basis of numerical analysis,Radon transform,Prestack random noise attenuation and Offset energy compensation are used to effectively improve the signal-to-noise ratio of seismic data and to compensate gather energy.Radon transform can effectively suppress regular interference such as multiple waves,prestack random noise attenuation can suppress random noise in CRP channel and Offset energy compensation can effectively restore the AVO characteristics of seismic data.After optimization,the continuity and resolution of CRP gathers are improved to a certain extent,and the characteristics of wave groups are clearer.After de-noising,the amplitude plane attributes of CRP gathers before and after optimization are compared and analyzed.It is further shown that the abnormal energy of CRP gathers at the section is well suppressed and the transverse seismic waves are suppressed.The amplitude and energy characteristics of the seismic data are relatively balanced,that is to say,the optimization processing enhances the lateral contrast of seismic data,which is conducive to seismic attribute feature extraction,sand body characterization and reservoir prediction.The comparison and analysis of gathers,synthetic seismograms,stacked sections,forward gathers and actual gathers before and after seismic data processing in the study area show that the gather quality is effectively improved by gather optimization processing,and the optimized gathers are applied to subsequent prestack inversion and reservoir prediction.
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