Preconditioned visco-acoustic least-squares reverse time migration integrated with point spread function

被引：0
|
作者：
Yao Z. [1 ]
Sun C. [2 ]
Yu Z. [3 ]
Ma Z. [2 ]
机构：
[1] Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China University of Technology, Nanchang, 330013, Jiangxi
[2] School of Geosciences, China University of Petroleum (East China), Qingdao, 266580, Shandong
[3] Institute of Oil & Gas, School of Earth and Space Sciences, Peking University, Beijing
来源：
Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2019年 / 54卷 / 01期
关键词：
Deblurring filter; Least-squares reverse time migration; Point spread function; Preconditioned; Visco-acoustic;
D O I：
10.13810/j.cnki.issn.1000-7210.2019.01.009
中图分类号：
学科分类号：
摘要：
In conventional visco-acoustic least-squares reverse time migration (Q-LSRTM), the adjoint Q propagators used for backward propagating residual data are also attenuative. Thus, the inverted images from Q-LSRTM are often observed to have lower resolution. To increase the resolution of Q-LSRTM, a preconditioned visco-acoustic least-square reverse time migration is put forward in this paper. The preconditioner is built with viscoa-coustic deblurring filters based on visco-acoustic point spread function. Model tests show that the preconditioned Q-LSRTM can produce images with higher resolution and more balanced amplitudes with faster convergence rate. With sensitivity tests of migration Q model, as the same case of Q-LSRTM, preconditioned Q-LSRTM also need a fairly accurate estimation of migration Q model in order to obtain noticeable improvements in the image quality, meanwhile a fairly accurate velocity model is also needed. © 2019, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.
引用
收藏
页码：73 / 83
页数：10
相关论文
共 43 条
  • [1] Aki K., Richards P.G., Quantitative Seismology: Theory and Methods, (1980)
  • [2] Carcione J.M., Wave Fields in Real Media, (2007)
  • [3] Sun C., Yin X., Construction of constant-Q viscoelastic model with three parameters, Acta Seismologica Sinica, 29, 4, pp. 348-357, (2007)
  • [4] Sun C., Qiao Z., Wu D., Et al., Modeling of wave equation with fractional derivative using optimal finite-difference method in constant-Q attenuation media, Acta Seismologica Sinica, 39, 3, pp. 343-355, (2017)
  • [5] Yan H., Liu Y., Rotated staggered grid high-order finite-difference numerical modeling for wave propagation in viscoelastic TTI media, Chinese Journal of Geophysics, 55, 4, pp. 1354-1365, (2012)
  • [6] Yao Z., Sun C., Tang J., Et al., Micro-seismic forward modeling in viscoelastic anisotropic media based on different focal mechanisms, Oil Geophysical Prospecting, 52, 1, pp. 63-70, (2017)
  • [7] Bickel S., Natarajan R., Plane wave Q deconvolution, Geophysics, 50, 9, pp. 1426-1439, (1985)
  • [8] Hargreaves N., Calvert A., Inverse Q filtering by Fourier transform, Geophysics, 56, 4, pp. 519-527, (1991)
  • [9] Wang Y.H., Seismic Inverse Q Filtering, (2007)
  • [10] Zhang L., Wang H., A stable inverse Q migration method, Geophysical Prospecting for Petroleum, 49, 2, pp. 115-120, (2010)
12345