Marchenko Multiple Elimination

E.C. Slob, L. Zhang

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Downloads (Pure)


Marchenko methods compute a focusing function for a receiver at the acquisition surface and a virtual source in the subsurface. Computing the focusing function requires subsurface information. The method has been modified to operate at the acquisition surface. The focusing function becomes a fundamental wave field as known since many decades. These can be computed from the up- and down-going parts of the data without any subsurface information. The up- and down-going parts can be obtained from up-down decomposition, or from up-down decomposition of the data followed by free surface multiple removal and wavelet deconvolution. The primary reflection dataset is obtained from applying the fundamental wave field to the data, or directly from the up-going part of the fundamental wave field. In the first option, the obtained primary reflections are the same as in the data, with all transmission effects and possibly the source ghost and source wavelet. In the second option, the obtained dataset is a primary reflection impulse response where the amplitudes have been compensated for transmission effects.
Original languageEnglish
Title of host publication82nd EAGE Conference & Exhibition 2020
Subtitle of host publication8-11 June 2020, Amsterdam, The Netherlands
Number of pages3
Publication statusPublished - 2020
Event82nd EAGE Annual Conference & Exhibition
- Amsterdam, Netherlands
Duration: 18 Oct 202121 Oct 2021


Conference82nd EAGE Annual Conference & Exhibition
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


Dive into the research topics of 'Marchenko Multiple Elimination'. Together they form a unique fingerprint.

Cite this