Time-lapse data prediction by Marchenko-based reservoir transplantation

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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 languageEnglish
Title of host publicationProceedings of the 87th SEG annual meeting, expanded abstracts
EditorsA. Mihai Popovici, S. Fomel
Publication statusPublished - 2017
Event87th SEG annual meeting - Houston, United States
Duration: 24 Sep 201729 Sep 2017
Conference number: 87

Publication series

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


Conference87th SEG annual meeting
Country/TerritoryUnited States
Internet address

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