activity
20192021
most citedScaling through abstractions -- high-performance vectorial wave simulations for seismic inversion with Devito

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

physics.geo-ph2021

A multi-GPU benchmark for 2D Marchenko Imaging

Victor Koehne, Matheu Santos, Rodrigo Santos +3

The Marchenko method allows estimating Green's functions with a virtual source in the subsurface from a reflection response on the surface. It is an inverse problem that can be sol…

physics.comp-ph20204 cited

Scaling through abstractions -- high-performance vectorial wave simulations for seismic inversion with Devito

Mathias Louboutin, Fabio Luporini, Philipp Witte +5

[Devito] is an open-source Python project based on domain-specific language and compiler technology. Driven by the requirements of rapid HPC applications development in exploration…

physics.geo-ph2020

A new role for adaptive filters in Marchenko equation-based methods for the attenuation of internal multiples

Myrna Staring, Lele Zhang, Jan Thorbecke +1

We have seen many developments in Marchenko equation-based methods for internal multiple attenuation in the past years. Starting from a wave-equation based method that required a s…

physics.geo-ph2020

An overview of Marchenko methods

Kees Wapenaar, Myrna Staring, Joeri Brackenhoff +3

Since the introduction of the Marchenko method in geophysics, many variants have been developed. Using a compact unified notation, we review redatuming by multidimensional deconvol…

physics.geo-ph2019

Virtual sources and receivers in the real Earth -- considerations for practical applications

Joeri Brackenhoff, Jan Thorbecke, Kees Wapenaar

To enhance monitoring of the subsurface, virtual sources and receivers inside the subsurface can be created from seismic reflection data at the surface of the Earth using the March…