Block-Krylov methods for Multi-Dimensional Deconvolution

Nick Luiken, Tristan van Leeuwen, Aayush Garg

Research output: Contribution to conferencePaperpeer-review

Abstract

We address the estimation of the impulse response at a reflector by deconvolving the up- and downgoing waves. Deconvolution in the time domain can be written as a linear system with multiple right-hand sides in the frequency domain. A straightforward way of solving these systems is by applying an iterative method like LSQR. However, these solvers are dependent on the right-hand side and for every right-hand side we have to use LSQR again. This can be a costly process. We propose to solve the linear systems using block Krylov methods. We show that these methods give comparable accuracy compared to standard Krylov methods, but at a much lower computational cost. This is due to the fact that block methods are able to exploit similarities in the data and are able to constructs solutions in a much richer subspace. We also show that it is hard to solve the MDD problem in the frequency domain alone, and that additional optimization in the time domain is most likely required.

Original languageEnglish
Pages5070-5074
Number of pages5
DOIs
Publication statusPublished - 1 Jan 2020
EventSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019 - San Antonio, United States
Duration: 15 Sep 201920 Sep 2019

Conference

ConferenceSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019
CountryUnited States
CitySan Antonio
Period15/09/1920/09/19

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