Computation of density perturbation based point spread function and simulation of migration image in 3D depth domain [基于密度扰动的点扩散函数计算与三维深度域模拟成像]

作者：Duan W.; Mao W.^*; Zhang Q.; Shi X.; Zhang J.

来源：Acta Geophysica Sinica, 2022, 65(4): 1402-1415.

DOI：10.6038/cjg2022P0239

• Depth domain
• Phase matching
• Point spread function
• Simulate images

The point spread PSF) is the response of an imaging system to a unit strength point scatterer, and the inversion method based on PSF provides a new direction for the direct inversion of reservoir parameters in depth domain. The purpose of this study is to present a feasible computation method of PSF, and to obtain simulated images in depth domain by using PSF. Based on the perturbation theory, the effects of velocity and density perturbation on the scattering field are analyzed, and a two-step forward method based on density perturbation is proposed to calculate PSF. Then, we deeply studied how to remove the pollution of structural information in the process of PSF calculation, how to carry out phase matching and how to implement spatial convolution in the process of imaging simulation, and proposed a scheme to solve the above problems. The model test shows that the PSFs calculated by the method proposed in this paper has the characteristics of accurate and have less pollution, and the simulated images based on PSF is well matched with the actual migrated images in both amplitude and phase.

• 单位
  大地测量与地球动力学国家重点实验室; 中国科学院大学