Steeply dipping structural target-oriented viscoacoustic least-squares reverse time migration and its application

IF 0.7 4区 地球科学 Q4 GEOCHEMISTRY & GEOPHYSICS Applied Geophysics Pub Date : 2023-11-13 DOI:10.1007/s11770-022-1030-7
Kang Chen, Song Han, Qi Ran, Long Wen, Guang-Zhi Zhang, Ying-Ming Qu
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Abstract

Steeply dipping structural imaging is a significant challenge because surface geophones cannot obtain seismic primary reflection wave information from steeply dipping structures. Prismatic waves with a significant amount of steeply dipping information can be used to improve the imaging effect on steeply dipping structures. Subsurface attenuation leads to amplitude loss and phase distortion of seismic waves, and ignoring this attenuation during imaging can cause blurring of migration amplitudes. In this study, we proposed a steeply dipping structural target-oriented viscoacoustic least-squares reverse time migration (LSRTM) method with prismatic and primary waves as an objective function based on the viscous wave equation, while deriving Q-compensated wavefield propagation and joint operators of prismatic and primary waves and the Q-compensated demigration operator. Numerical examples on synthetic and field data verified the advantages of the proposed viscoacoustic LSRTM method of joint primary and prismatic waves over conventional viscoacoustic LSRTM and non-compensated LSRTM when using attenuating observed data.

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大倾角结构目标导向粘声最小二乘逆时偏移及其应用
由于地表检波器无法获得陡倾构造的地震一次反射波信息,陡倾构造成像是一个重大挑战。利用具有大量陡倾信息的棱柱波可以提高陡倾构造的成像效果。地下衰减会导致地震波的幅值损失和相位畸变,在成像时忽略这种衰减会导致偏移幅值模糊。本文基于粘性波动方程,提出了一种以棱柱波和一次波为目标函数的陡倾结构目标导向粘声最小二乘逆时偏移(LSRTM)方法,推导了棱柱波和一次波的q补偿波场传播和联合算子以及q补偿反偏移算子。综合和现场数据的数值算例验证了所提出的粘声LSRTM方法在使用衰减观测数据时优于传统的粘声LSRTM和非补偿LSRTM。
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来源期刊
Applied Geophysics
Applied Geophysics 地学-地球化学与地球物理
CiteScore
1.50
自引率
14.30%
发文量
912
审稿时长
2 months
期刊介绍: The journal is designed to provide an academic realm for a broad blend of academic and industry papers to promote rapid communication and exchange of ideas between Chinese and world-wide geophysicists. The publication covers the applications of geoscience, geophysics, and related disciplines in the fields of energy, resources, environment, disaster, engineering, information, military, and surveying.
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