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Di, Haibin, Li, Zhun, Maniar, Hiren, Abubakar, Aria (2020) Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow. GEOPHYSICS, 85 (4) doi:10.1190/geo2019-0433.1

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Reference TypeJournal (article/letter/editorial)
TitleSeismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow
JournalGEOPHYSICS
AuthorsDi, HaibinAuthor
Li, ZhunAuthor
Maniar, HirenAuthor
Abubakar, AriaAuthor
Year2020 (July 1)Volume85
Issue4
PublisherSociety of Exploration Geophysicists
DOIdoi:10.1190/geo2019-0433.1Search in ResearchGate
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Mindat Ref. ID13733763Long-form Identifiermindat:1:5:13733763:9
GUID0
Full ReferenceDi, Haibin, Li, Zhun, Maniar, Hiren, Abubakar, Aria (2020) Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow. GEOPHYSICS, 85 (4) doi:10.1190/geo2019-0433.1
Plain TextDi, Haibin, Li, Zhun, Maniar, Hiren, Abubakar, Aria (2020) Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow. GEOPHYSICS, 85 (4) doi:10.1190/geo2019-0433.1
In(2020, July) Geophysics Vol. 85 (4) Society of Exploration Geophysicists

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Abubakar, Aria, Di, Haibin, Li, Zhun, Maniar, Hiren, Zhao, Tao (2024) An artificial intelligence workflow for horizon volume generation from 3D seismic data. The Leading Edge, 43 (4) 235-243 doi:10.1190/tle43040235.1
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Wu, Xinming, Geng, Zhicheng, Shi, Yunzhi, Pham, Nam, Fomel, Sergey, Caumon, Guillaume (2020) Building realistic structure models to train convolutional neural networks for seismic structural interpretation. Geophysics, 85 (4) doi:10.1190/geo2019-0375.1
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