基于迭代测井反射系数的井信息约束地震拓频方法研究OA

In geophysical exploration,logging data has high vertical resolution but lacks lateral resolution.Seismic data has high lateral resolution and can achieve continuous tracking of geological interfaces,but its vertical resolution is relatively limited.In order to expand the seismic frequency band and improve the quality of seismic data,a seismic frequency extension method constrained by well informa-tion based on iterative logging reflection coefficient is proposed.Firstly,the logging reflection coefficient is extracted from the logging da-ta,and the logging reflection coefficient and the seismic wavelet are synchronously optimized through iterative algorithm to improve their matching degree in low frequency range.Secondly,the iteratively processed logging reflection coefficient is matched with the well-side seismic traces to extract the matching factors at the well locations,and the matching factors at all well locations are subjected to spatial variation processing.Finally,a high-resolution seismic geological model is synthesized using spatially varying matching factors to con-struct a sparse inversion framework constrained by logging information,thereby improving the resolution of seismic data.The processing results of actual data show that this method effectively broadens the seismic frequency band and significantly improves seismic resolu-tion.At the same time,the structural details on the seismic profile were not destroyed,greatly improving the overall quality of seismic data.