On Green's function retrieval by iterative substitution of the coupled Marchenko equations
J van der Neut, I Vasconcelos… - Geophysical Journal …, 2015 - academic.oup.com
Iterative substitution of the coupled Marchenko equations is a novel methodology to retrieve
the Green's functions from a source or receiver array at an acquisition surface to an arbitrary …
the Green's functions from a source or receiver array at an acquisition surface to an arbitrary …
Adaptive overburden elimination with the multidimensional Marchenko equation
J van der Neut, K Wapenaar - Geophysics, 2016 - library.seg.org
Iterative substitution of the multidimensional Marchenko equation has been introduced
recently to integrate internal multiple reflections in the seismic imaging process. In so-called …
recently to integrate internal multiple reflections in the seismic imaging process. In so-called …
Enhanced deep learning approach based on the deep convolutional encoder–decoder architecture for electromagnetic inverse scattering problems
This letter proposes a novel deep learning (DL) approach to resolve the electromagnetic
inverse scattering (EMIS) problems. The conventional approaches of resolving EMIS …
inverse scattering (EMIS) problems. The conventional approaches of resolving EMIS …
Enhanced two-step deep-learning approach for electromagnetic-inverse-scattering problems: Frequency extrapolation and scatterer reconstruction
The electromagnetic-inverse-scattering (EMIS) problem is solved by a novel two-step deep-
learning (DL) approach in this article. The newly proposed two-step DL approach not only …
learning (DL) approach in this article. The newly proposed two-step DL approach not only …
Marchenko redatuming, imaging, and multiple elimination and their mutual relations
With the Marchenko method, it is possible to retrieve Green's functions between virtual
sources in the subsurface and receivers at the surface from reflection data at the surface and …
sources in the subsurface and receivers at the surface from reflection data at the surface and …
Internal multiple prediction and removal using Marchenko autofocusing and seismic interferometry
Standard seismic processing steps such as velocity analysis and reverse time migration
(imaging) usually assume that all reflections are primaries: Multiples represent a source of …
(imaging) usually assume that all reflections are primaries: Multiples represent a source of …
Implementation of the Marchenko method
The Marchenko method makes it possible to compute subsurface-to-surface Green's
functions from reflection measurements at the surface. Applications of the Marchenko …
functions from reflection measurements at the surface. Applications of the Marchenko …
Enhanced supervised descent learning technique for electromagnetic inverse scattering problems by the deep convolutional neural networks
This work proposes a novel deep learning (DL) framework to solve the electromagnetic
inverse scattering (EMIS) problems. The proposed framework integrates the complex-valued …
inverse scattering (EMIS) problems. The proposed framework integrates the complex-valued …
Elastodynamic Green's function retrieval through single-sided Marchenko inverse scattering
The solution of the inverse scattering problem for the one-dimensional Schrödinger equation
is given by the Marchenko equation. Recently, a Marchenko-type equation has been derived …
is given by the Marchenko equation. Recently, a Marchenko-type equation has been derived …
Accounting for free-surface multiples in Marchenko imaging
Imagine placing a receiver at any location in the earth and recording the response at that
location to sources on the surface. In such a world, we could place receivers around our …
location to sources on the surface. In such a world, we could place receivers around our …