Decoupled deblurring filter and its application to elastic migration and inversion

Zongcai Feng, Gerard T. Schuster, Wei Dai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We present a decoupled deblurring filter that approximates the multiparameter Hessian inverse by using local filters to approximate its submatrices for the same and different parameter classes. Numerical tests show that the filter not only reduces the footprint noise, balances the amplitudes and increases the resolution of the elastic migration images, but also mitigates the crosstalk artifacts. When used as a preconditioner, it accelerates the convergence rate for elastic inversion.
Original languageEnglish (US)
Title of host publicationSEG Technical Program Expanded Abstracts 2017
PublisherSociety of Exploration Geophysicists
DOIs
StatePublished - Aug 17 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The research is supported by the 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 Modeling (CSIM) Consortium for their financial support. The computation resource provided by the KAUST Supercomputing Laboratory (KSL) is greatly appreciated.

Fingerprint

Dive into the research topics of 'Decoupled deblurring filter and its application to elastic migration and inversion'. Together they form a unique fingerprint.

Cite this