Time-lapse data prediction by Marchenko-based reservoir transplantation

Kees Wapenaar; Evert Slob

doi:10.1190/segeab.36

Time-lapse data prediction by Marchenko-based reservoir transplantation

Applied Geophysics and Petrophysics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

In a time-lapse experiment, changes in a reservoir cause changes in the reflection response. We discuss a method which predicts these changes from the baseline survey and a model of the changed reservoir. This method, which takes all multiple
scattering into account, is significantly more efficient than modeling the response of the entire medium containing the changed reservoir. This can be particularly attractive for applications in time-lapse full wave form inversion, which requires
repeated modelling of the reflection response.

Original language	English
Title of host publication	Proceedings of the 87th SEG annual meeting, expanded abstracts
Editors	A. Mihai Popovici, S. Fomel
Publisher	SEG
Pages	5583-5587
DOIs	https://doi.org/10.1190/segeab.36
Publication status	Published - 2017
Event	87th SEG annual meeting - Houston, United States Duration: 24 Sept 2017 → 29 Sept 2017 Conference number: 87 https://seg.org/Annual-Meeting-2017

Publication series

Name	SEG Technical Program Expanded Abstracts 2017
ISSN (Electronic)	1949-4645

Conference

Conference	87th SEG annual meeting
Country/Territory	United States
City	Houston
Period	24/09/17 → 29/09/17
Internet address	https://seg.org/Annual-Meeting-2017

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10.1190/segeab.36

Seg_17aAccepted author manuscript, 270 KB

Cite this

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title = "Time-lapse data prediction by Marchenko-based reservoir transplantation",

abstract = "In a time-lapse experiment, changes in a reservoir cause changes in the reflection response. We discuss a method which predicts these changes from the baseline survey and a model of the changed reservoir. This method, which takes all multiplescattering into account, is significantly more efficient than modeling the response of the entire medium containing the changed reservoir. This can be particularly attractive for applications in time-lapse full wave form inversion, which requiresrepeated modelling of the reflection response.",

author = "Kees Wapenaar and Evert Slob",

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doi = "10.1190/segeab.36",

language = "English",

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editor = "{Mihai Popovici}, A. and S. Fomel",

booktitle = "Proceedings of the 87th SEG annual meeting, expanded abstracts",

note = "87th SEG annual meeting ; Conference date: 24-09-2017 Through 29-09-2017",

url = "https://seg.org/Annual-Meeting-2017",

}

Time-lapse data prediction by Marchenko-based reservoir transplantation. / Wapenaar, Kees ; Slob, Evert.
Proceedings of the 87th SEG annual meeting, expanded abstracts. ed. / A. Mihai Popovici; S. Fomel. SEG, 2017. p. 5583-5587 (SEG Technical Program Expanded Abstracts 2017).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Y2 - 24 September 2017 through 29 September 2017

ER -

Time-lapse data prediction by Marchenko-based reservoir transplantation

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