Low frequency model is an important part of seismic inversion,and its accuracy directly affects the precision of inversion.With the continuous deepening of exploration degree,the exploration of mid-deep continental strata has become a key area of offshore exploration.The lateral variation of sedimentation in continental strata is fast,and there are few wells drilled during the exploration phase.It is difficult to obtain accurate low frequency models through conventional interpolation methods,which restricts the accuracy of seismic inversion.To address these issues,we studied a low frequency model construction method based on co-kriging technology. Using spatially continuous seismic velocity data as auxiliary variables and high-resolution logging data as main variables,we integrated the auxiliary variable information into the estimation results through co-kriging interpolation method,thus compensating for the shortcomings of insufficient spatial measurement of the main variable data and obtaining a high-precision inversion low frequency model.This solves the problem of constructing low frequency models in areas with few wells.Practical application of the data shows that this method improves the accuracy of the inversion low frequency model compared to conventional methods,enhances the reliability of reservoir prediction,and has wide application prospects.
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