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.
|Title of host publication
|EAGE Publications BV
|Number of pages
|Published - Nov 23 2018
|Society of Exploration Geophysicists
Bibliographical noteKAUST 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 authors would like to thank Statoil ASA and the Volve license partners ExxonMobil E&P Norway AS and Bayerngas Norge AS, for the release of the Volve data. The authors would like to thank Marianne Houbiers from Statoil, who gave helpful suggestions and corrections. For computer time, this research used the resources of the Supercomputing Laboratory at KAUST and the IT Research Computing Group. We thank them for providing the computational resources required for carrying out this work.