Passive multiple reverse time migration imaging based on wave decomposition and normalized imaging conditions*

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Abstract With the development of seismic exploration, passive-source seismic data has attracted increasing attention. Ambient noise passive seismic sources exists widely in nature and industrial production. Passive seismic data is important in logging while drilling (LWD), large-scale structural exploration, etc. In this paper, we proposed a passive multiple reverse time migration imaging (PMRTMI) method based on wavefi eld decomposition and normalized imaging conditions method. This method differs from seismic interferometry in that it can use raw passive seismic data directly in RTM imaging without reconstruction of virtual active gather, and we use the wavefi eld decomposition method to eliminate the low frequency noise in RTM. Further, the energy normalized imaging condition is used in full wavefield decomposition, which can not only enhance the image quality of both edge and deep information but also overcome the wrong energy problem caused by uneven distribution of passive sources; furthermore, this method exhibits high efficiency. Finally, numerical examples with the Marmousi model show the effectiveness of the method.

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Key words： Passive source multiple imaging reverse time migration energy normalization wavefield decomposition

Received: 2019-05-09;

Fund:

This research is sponsored by the Natural Science Foundation of China (No. 41874139), the Natural Science Foundation of China (No. 41674124), and Jilin Province Foundation for Excellent Youths (No. 20190103139JH).

Corresponding Authors: Han Li-Guo (Email: hangliguo@jlu.edu.cn)
E-mail: hangliguo@jlu.edu.cn

About author: Cai Zhong-zheng, he reveived a BS (2015) from Jilin University in the major of Exploration Technology and Engineering (Applied Geophysics) and is currently a PhD student in the major of Earth Exploration and Information Technology, Jilin University. His research interests are active and passive seismic data imaging and inversion.

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. Passive multiple reverse time migration imaging based on wave decomposition and normalized imaging conditions*[J]. APPLIED GEOPHYSICS, 2019, 16(3): 338-348.

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