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Multiparameter Deblurring Filter and its Application to Elastic Migration and Inversion
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, First EAGE/SBGf Workshop on Least-Squares Migration, Nov 2018, Volume 2018, p.1 - 5
Abstract
Summary
We present a multiparameter deblurring filter that approximates the Hessian inverse. This filter considers the coupling between different parameters by using stationary local filters to approximate the submatrices of the Hessian inverse for the same and different types of parameters. Numerical tests with elastic migration and inversion show that the multiparameter deblurring filter not only reduces the footprint noise, balances the amplitude and increases the resolution of the elastic migration images, but also mitigates the crosstalk artifacts. When used as a preconditioner, it also accelerates the convergence rate for elastic inversion.
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