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    Methods for high-precision subsurface imaging using spatially dense seismic data

    Ziramov S 2023 Public.pdf (26.61Mb)
    Access Status
    Open access
    Authors
    Ziramov, Sasha
    Date
    2023
    Supervisor
    Boris Gurevich
    Andrej Bona
    Milovan Urosevic
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    School of Earth and Planetary Sciences
    URI
    http://hdl.handle.net/20.500.11937/93782
    Collection
    • Curtin Theses
    Abstract

    Current state-of-the-art depth migration techniques are regularly applied in marine seismic exploration, where they deliver accurate and reliable pictures of Earth’s interior. The question is how these algorithms will perform in different environments, not related to oil and gas exploration. For example, how to utilise those techniques in an elusive environment of hard rocks? The main challenge there is to image highly complex, subvertical piece-wise geology, represented by often low reflectivity, in a noisy environment.

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