The Radon transform (RT) is recognized as an important tool in seismic processing for its focusing properties of seismic events in the Radon domain. The basis function of least-squares 3D tau-p transform does not fully match the 3D linear noise (i.e. field ground roll). However, that leads to its energy being dispersed over an ellipse on zero intercept slice of the 3D tau-p transform domain, which decrease the resolution in slowness. A least-squares 3D conical RT (LSCRT) is proposed to focus the 3D linear noise into a point to improve the resolution of the slowness direction. Unlike the conventional counterpart, the new basic function maps seismic data to its surface integrals over circular cones in R3. The synthetic data sets confirm the effectiveness of the method in improving the slowness resolutions compared with the least-squares 3D tau-p transform, which leads to improved 3D linear noise attenuation results in the conical Radon transform domain.
Presentation Date: Tuesday, October 13, 2020
Session Start Time: 1:50 PM
Presentation Time: 1:50 PM
Location: Poster Station 13
Presentation Type: Poster
