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隧道地震数据的三维多分量逆时偏移方法

3-D Multi-Component Reverse Time Migration Method for Tunnel Seismic Data.

作者信息

Guan Peng, Shao Cuifa, Jiao Yuyong, Zhang Guohua, Li Bin, Zhou Jie, Huang Pei

机构信息

Faculty of Engineering, China University of Geosciences, Lumo Road 388, Wuhan 430074, China.

出版信息

Sensors (Basel). 2021 May 7;21(9):3244. doi: 10.3390/s21093244.

Abstract

Migration imaging is a key step in tunnel seismic data processing. Due to the limitation of tunnel space, tunnel seismic data are small-quantity, multi-component, and have a small offset. Kirchhoff migration based on the ray theory is limited to the migration aperture and has low migration imaging accuracy. Kirchhoff migration can no longer meet the requirements of high-precision migration imaging. The reverse time migration (RTM) method is used to realize cross-correlation imaging by reverse-time recursion principle of the wave equation. The 3-D RTM method cannot only overcome the effect of small offset, but also realize multi-component data imaging, which is the most accurate migration method for tunnel seismic data. In this paper, we will study the 3-D RTM method for multi-component tunnel seismic data. Combined with the modeled data and the measured data, the imaging accuracy of the 3-D Kirchhoff migration and 3-D RTM is analyzed in detail. By comparing single-component and multi-component Kirchhoff migration and RTM profile, the advantages of the multi-component RTM method are summarized. Compared with the Kirchhoff migration method, the 3-D RTM method has the following advantages: (1) it can overcome the effect of small offset and expand the range of migration imaging; (2) multi-component data can be realized to improve the energy of anomalous interface; (3) it can make full use of multiple waves to realize migration imaging and improve the resolution of the anomalous interface. The modeled data and the measured data prove the advantages of the 3-D multi-component RTM method.

摘要

偏移成像在隧道地震数据处理中是关键步骤。由于隧道空间的限制,隧道地震数据量小、多分量且偏移距小。基于射线理论的克希霍夫偏移受偏移孔径限制,偏移成像精度低,已无法满足高精度偏移成像的要求。逆时偏移(RTM)方法通过波动方程的逆时递归原理实现互相关成像。三维RTM方法不仅能克服小偏移距的影响,还能实现多分量数据成像,是隧道地震数据最精确的偏移方法。本文将研究多分量隧道地震数据的三维RTM方法。结合模型数据和实测数据,详细分析三维克希霍夫偏移和三维RTM的成像精度。通过比较单分量和多分量克希霍夫偏移与RTM剖面,总结多分量RTM方法的优势。与克希霍夫偏移方法相比,三维RTM方法具有以下优势:(1)能克服小偏移距的影响,扩大偏移成像范围;(2)可实现多分量数据,提高异常界面能量;(3)能充分利用多次波实现偏移成像,提高异常界面分辨率。模型数据和实测数据证明了三维多分量RTM方法的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489e/8125666/566a15958193/sensors-21-03244-g001.jpg

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