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Velocity-independent Marchenko method in time- And depth-imaging domains

Research output: Contribution to conference › Paper › Academic

Abstract

The Marchenko method represents a constructive technique toobtain Green's functions between the acquisition surface andany arbitrary point in the medium. The process generally involvessolving an inversion starting with a direct-wave Green's function from the desired subsurface position, which is typicallyobtained using an approximate velocity model. In thisstudy, we first propose to formulate the Marchenko method inthe time-imaging domain. We recognize that the traveltimeof the direct-wave Green's function is related to the Cheop's traveltime pyramid commonly used in time-domain processingand can be readily obtained from the local slopes of thecommon-midpoint (CMP) gathers. This observation allowsus to substitute the need for a prior velocity model with thedata-driven slope estimation process. Moreover, we show thatworking in the time-imaging domain allows for the specificationof the desired subsurface position in terms of vertical time,which is connected to the Cartesian depth position via the timeto-depth conversion. Our results suggest that the prior velocitymodel is only required when specifying the position in depthbut this requirement can be circumvented by making use of thetime-imaging domain and its usual assumptions. Provided thatthose assumptions are satisfied, the estimated Green's functionsfrom the proposed method have comparable quality tothose obtained with the knowledge of a prior velocity model.
Original languageEnglish
Pages5012-5016
Number of pages5
DOIs
Publication statusPublished - 2019
Event88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States
Duration: 14 Oct 2018 → 19 Oct 2018

Conference

Conference88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
Country/TerritoryUnited States
CityAnaheim
Period14/10/18 → 19/10/18

Bibliographical note

Cited By :1

Export Date: 19 February 2020

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