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Seismic facies analysis based on 3D seismic data on training field of the Republic of Tatarstan

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dc.contributor.author Gubaidullina J.V.
dc.contributor.author Platov B.V.
dc.date.accessioned 2022-02-09T20:46:21Z
dc.date.available 2022-02-09T20:46:21Z
dc.date.issued 2021
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/170175
dc.description.abstract Restoration of facies in the inter-well space is an actual issue. If we know filtration-capacitive properties from the core data in the well, which we tied to seismic data, we can trace distribution of facies throughout the territory. And if we will know distribution of facies, we can define filtration-capacitive properties in the interwell space and location of the reservoir. The work was to identify facies using neural algorithm classification by signal shape and seismic attributes. The identified facies: alluvial facies, fresh water facies and shoreline facies. Also, during the work, authors created maps of tulian horizon and identified the facies distribution and location of paleochannels and reef structures of the tulian horizon.
dc.title Seismic facies analysis based on 3D seismic data on training field of the Republic of Tatarstan
dc.type Conference Proceeding
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS-2021-SID85114213889


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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