Acoustic plane-wave Marchenko multiple elimination applied on complex marine data

G.A. Meles, Christian Reinicke, M Dukalski, C.P.A. Wapenaar

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

4 Downloads (Pure)

Abstract

Marchenko redatuming retrieves Green’s functions inside an unknown medium, by solving a set of coupled Marchenko equations, which are derived from an under-determined system of equation and two temporal truncations. To constrain the problem, two assumptions are made, which hold reasonably well for acoustic, but not for elastodynamic waves. First, an early part of the inverse transmission field is needed which can be estimated for sufficiently-simple acoustic cases, but remains hard to predict for elastic media without detailed overburden knowledge. Secondly, the scheme assumes temporal separability of up-going focusing and Green’s functions, which holds for many acoustic media but easily fails in presence of elastic effects. The impact of the failure to meet these assumptions is a somewhat controllable problem in 1.5D media. Independently, in acoustic media one can use a time-only focusing to retrieve focusing functions which collapse to a single plane wave below the overburden. We apply this approach to elastic data from a very complex almost 1.5D medium. The numerical example shows that the plane-wave approach can also be combined with mitigation of failure to satisfy the aforementioned assumptions and the result could lead to a high-fidelity internal multiple-free image.
Original languageEnglish
Title of host publication83rd annual EAGE meeting
Number of pages5
DOIs
Publication statusPublished - 2022
Event83rd annual EAGE meeting - online meeting, madrid, Spain
Duration: 6 Jun 20219 Jun 2021
Conference number: 83rd

Conference

Conference83rd annual EAGE meeting
Country/TerritorySpain
Citymadrid
Period6/06/219/06/21

Fingerprint

Dive into the research topics of 'Acoustic plane-wave Marchenko multiple elimination applied on complex marine data'. Together they form a unique fingerprint.

Cite this