Research On 3D High-resolution Radon Transform

The Radon transform has always been a relatively versatile method for removing multiple and improving the signal-to-noise ratio of seismic data.Due to the difference of velocity between primary and multiple,there are differences in curvature between primary and multiple in seismic data after NMO.Through the parabolic Radon transform,the amplitude of seismic data superimposes along a certain curvature,so that we can distinguish primary and multiple waves in the Radon domain and remove multiple waves.However,the limited space sampling will cause the energy leakage of primary and multiple,and the multiple wave removal effect will be worse.The traditional iterative high-resolution Radon transform is sensitive to the velocity parameter and has low efficiency.In order to improve its resolution and efficiency,we use the low-frequency data of the seismic data to constrain the Radon operation so that multiple energy and primary wave energy in the Radon domain are more convergent.The AVO effect of seismic data plays an important role in finding oil and gas.The traditional Radon transform will damage the amplitude information of seismic data in the process of superimposing seismic data.We use extra matrices to store the amplitude change information of the seismic data so as to obtain the amplitude-preserving Radon transform.3D seismic data processing has more advantages than 2D seismic data processing.We extend the 2D amplitude-preserving high-resolution algorithm to 3D seismic data,and achieve a better multiple removal effect.When dealing with seismic data with azimuth effects,we combine the high-order high-resolution algorithm with the ellipse model,and also remove the multiple waves better.Due to the processing results of synthetic data and real data,we can conclude that the proposed method can achieve a better multiple removal effect and protect the amplitude of effective waves.