Least squares reverse-time migration in the pseudodepth domain and reservoir exploration

Least squares reverse-time migration （LSRTM） is an inversion method that removes artificial images and preserves the amplitude of reflectivity sections. LSRTM has been used in reservoir exploration and processing of 4D seismic data. LSRTM is, however, a computationally costly and memory-intensive method. In this study, LSRTM in the pseudodepth domain was combined with the conjugate gradient method to reduce the computational cost while maintaining precision. The velocity field in the depth domain was transformed to the velocity field in the pseudodepth domain; thus, the total number of vertical sampling points was reduced and oversampling was avoided. Synthetic and field data were used to validate the proposed method. LSRTM in the pseudodepth domain in conjunction with the conjugate gradient method shows potential in treating field data.

最少的广场反向时间的移植(LSRTM ) 是移开人工的图象并且保存反射率节的振幅的一个倒置方法。LSRTM 在水库探索被使用了并且 4D 处理地震数据。然而， LSRTM 是一个计算地昂贵、记忆集中的方法。在这研究，在 pseudodepth 领域的 LSRTM 与 conjugate 坡度方法被相结合当维持精确时，减少计算费用。在深度领域的速度领域在 pseudodepth 领域被转变到速度领域；因此，垂直采样点的全部的数字被减少， oversampling 被避免。合成并且地数据被用来验证建议方法。在与 conjugate 坡度方法一起的 pseudodepth 域的 LSRTM 在对待领域数据显示出潜力。