Gaussian Beam Migration in 3D Dip-Angle Domain Based on Gather Optimization

Summary Gaussian beam migration (GBM) is effective and robust to overcome the multipathing problem. As a ray-based method, it carries explicit angle-information naturally during the propagation. Different from that in scatter-angle gathers, reflectors with different spatial geometries produce different responses in dip-angle common-image gathers (DCIGs). We develop 3D-GBM in the dip-angle domain with optimizing gathers using different transform-method. The dip-angle-gather computation is based on geometrical optics, and multiple angle conversions are implemented under the rules of solid geometry, which helps to avoid rounding errors and improving accuracy. Additionally, the multiazimuth joint presentation strategy is proposed to describe the characteristic of omnidirectional dip angles using a finite number of gathers. Numerical results demonstrate that the proposed GBM in the dip-angle domain provides high-quality migration results, and the optimization-method is feasible and adaptable for imaging a land survey.