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.
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页码：73 / 83
页数：10
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