Getting accurate time-lapse information using geology-constrained simultaneous joint migrationinversion

Shan Qu*, Eric Verschuur

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    13 Citations (Scopus)

    Abstract

    We propose a simultaneous Joint Migration Inversion (SJMI) method for accessing time-lapse changes, which combines a joint time-lapse data processing strategy with the Joint Migration Inversion (JMI) method. Moreover, we extend it to include an L1-norm sparsity constraint on the reflectivities in a suitable transform domain and also naturally make a link with image structures and geological information by using a directional smoothing regularization on the velocities. We successfully demonstrate the effectiveness of the proposed method on a complex synthetic example based on the Marmousi model.

    Original languageEnglish
    Pages (from-to)5451-5456
    JournalSEG Technical Program Expanded Abstracts
    Volume35
    DOIs
    Publication statusPublished - 2016

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