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dc.contributor.authorZiramov, Sasha
dc.contributor.supervisorBoris Gurevichen_US
dc.contributor.supervisorAndrej Bonaen_US
dc.contributor.supervisorMilovan Urosevicen_US
dc.date.accessioned2023-11-14T23:44:55Z
dc.date.available2023-11-14T23:44:55Z
dc.date.issued2023en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/93782
dc.description.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.

en_US
dc.publisherCurtin Universityen_US
dc.titleMethods for high-precision subsurface imaging using spatially dense seismic dataen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Earth and Planetary Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidZiramov, Sasha [0000-0001-5346-1124]en_US


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