JMI-FWI: Cascading Workflow Using Joint Migration Inversion (JMI) and Full Waveform Inversion (FWI)

G. Eisenberg-Klein, D.J. Verschuur, Shan Qu, E. Schünemann

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

    Abstract

    Data driven Velocity Model Building (VMB) based on Full Waveform Inversion requires very broad band, especially low frequnecy data content to overcome the cycle skipping problem. In this paper we demonstrate how the Joint Migration Inversion method introduced by the DELHPI consortium group applied in a cascaded workflow to preduce a hich quality velocity model to start and reduce efforts in Full Waveform Inversion.
    Original languageEnglish
    Title of host publicationProceedings of the Second EAGE/PESGB Workshop on Velocities
    PublisherEAGE
    Number of pages3
    ISBN (Electronic)9789462822856
    DOIs
    Publication statusPublished - 2019
    EventSecond EAGE/PESGB Workshop on Velocities - etc.venues Marble Arch, London, United Kingdom
    Duration: 4 Apr 20195 Apr 2019
    https://events.eage.org/en/2019/Second%20EAGE%20PESGB%20Workshop%20on%20Velocities

    Workshop

    WorkshopSecond EAGE/PESGB Workshop on Velocities
    CountryUnited Kingdom
    CityLondon
    Period4/04/195/04/19
    Internet address

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