Using a hybrid focal: Curvelet transform for deblending

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    Abstract

    In this paper we examine the advantages of using a hybrid focal - curvelet transform for deblending. The focal transform is at best for curved events (typically at smaller offsets), while the curvelet transform is effective for linear events (e.g. at far offsets). Thus, the addition of the curvelet transform is very suited for events that cannot be easily reconstructed by the focal transform alone, such as linear events that are not in the range of the focal operators. The improved deblending capabilities of the hybrid focal - curvelet approach is demonstrated on both simulated and numerically blended field data.
    Original languageEnglish
    Title of host publicationSEG Technical Program Expanded Abstracts 2017
    Subtitle of host publication24-29 September, Houston, USA
    Pages4903-4908
    DOIs
    Publication statusPublished - 2017
    EventSEG Annual Meeting 2017 - Houston, United States
    Duration: 24 Sep 201729 Sep 2018
    Conference number: 87

    Publication series

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

    Conference

    ConferenceSEG Annual Meeting 2017
    Abbreviated titleSEG 2017
    CountryUnited States
    CityHouston
    Period24/09/1729/09/18

    Keywords

    • deblending
    • simultaneous sources

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