Least-squares migration using surface-related multiples on data with large acquisition gaps

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    Abstract

    Seismic acquisition in an area can often get hindered by reasons such as complex topography, infrastructure (e.g. platforms) or lack of access due to legal and environmental reasons. Such areas with possibilities of large data gaps may deter exploration or monitoring, as the conventional imaging strategies would either provide bad seismic images or turn out to be very expensive. Surface-related multiples travel different paths compared to primaries, illuminating a wider subsurface area. This property makes the surface-related multiples particularly important in case of data with large gaps. In this paper we show different strategies of using surface-related multiples to get around the problem of imaging with a large data gap. Conventional least-squares imaging methods that incorporate surface-related multiples do so by re-injecting the measured wavefield, which makes it sensitive to missing data. Therefore, we …
    Original languageEnglish
    Title of host publicationLeast-squares migration using surface-related multiples on data with large acquisition gaps
    PublisherEAGE
    Number of pages5
    DOIs
    Publication statusPublished - 2018
    EventEAGE conference -
    Duration: 27 Nov 2018 → …

    Workshop

    WorkshopEAGE conference
    Period27/11/18 → …

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