On the benefits of auxiliary transmission data for Marchenko-based Green’s function retrieval
JR van der Neut (TU Delft - Applied Geophysics and Petrophysics)
J. Brackenhoff (ETH Zürich)
G. Meles (University of Lausanne)
L. Zhang (TU Delft - Applied Geophysics and Petrophysics)
EC Slob (TU Delft - Applied Geophysics and Petrophysics)
Kees Wapenaar (TU Delft - Applied Geophysics and Petrophysics, TU Delft - ImPhys/Medical Imaging)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Green’s functions in an unknown medium can be retrieved from single-sided reflection data by solving a multidimensional Marchenko equation. This methodology requires knowledge of the direct wavefield throughout the medium, which should include forward-scattered waveforms. In practice, the direct field is often computed in a smooth background model, where such subtleties are not included. As a result, Marchenko-based Green’s function retrieval can be inaccurate, especially in severely complex media. In some cases, auxiliary transmission data may be available. In this extended abstract, we show how these data can be used to modify the Marchenko equation so that forward-scattered waveforms can be retrieved without additional knowledge of the medium.