Superresolution Imaging Using Resonant Multiples

Bowen Guo, Gerard T. Schuster

Research output: Contribution to journalArticlepeer-review


A resonant multiple is defined as a multiple reflection that revisits the same subsurface location along coincident reflection raypaths. We show that resonant first-order multiples can be migrated with either Kirchhoff or wave-equation migration methods to give images with approximately twice the spatial resolution compared to post-stack primary-reflection images. A moveout-correction stacking method is proposed to enhance the signal-to-noise ratios (SNRs) of the resonant multiples before superresolution migration. The effectiveness of this procedure is validated by synthetic and field data tests.
Original languageEnglish (US)
Pages (from-to)S197-S212
Number of pages1
Issue number2
StatePublished - Feb 16 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research is supported by King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. We are grateful to the sponsors of the Center for Subsurface Imaging and Fluid Modeling (CSIM) Consortium for their financial support. We also thank the Supercomputing Laboratory at KAUST for providing the computational resources. The first author would also like to thank Mr. Mrinal Sinha, Mr. Zongcai Feng and Dr. Han Yu for their helpful editing and advice.


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