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Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks
Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks
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Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks

Liu, Mingliang ; Jervis, Michael ; Li, Weichang ; Nivlet, Philippe

Geophysics, 2020-07, Vol.85 (4), p.O47-O58 [Periódico revisado por pares]

Society of Exploration Geophysicists

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2
Lithologic mapping using random forests applied to geophysical and remote-sensing data; a demonstration study from the Eastern Goldfields of Australia
Lithologic mapping using random forests applied to geophysical and remote-sensing data; a demonstration study from the Eastern Goldfields of Australia
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Lithologic mapping using random forests applied to geophysical and remote-sensing data; a demonstration study from the Eastern Goldfields of Australia

Kuhn, Stephen ; Cracknell, Matthew J ; Reading, Anya M

Geophysics, 2018-07, Vol.83 (4), p.B183-B193 [Periódico revisado por pares]

Society of Exploration Geophysicists

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3
Seismic stratigraphy interpretation by deep convolutional neural networks; a semisupervised workflow
Seismic stratigraphy interpretation by deep convolutional neural networks; a semisupervised workflow
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Seismic stratigraphy interpretation by deep convolutional neural networks; a semisupervised workflow

Di, Haibin ; Li, Zhun ; Maniar, Hiren ; Abubakar, Aria

Geophysics, 2020-07, Vol.85 (4), p.WA77-WA86 [Periódico revisado por pares]

Society of Exploration Geophysicists

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4
Reservoir characterization using surface microseismic monitoring
Reservoir characterization using surface microseismic monitoring
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Reservoir characterization using surface microseismic monitoring

Duncan, Peter M ; Eisner, Leo

Geophysics, 2010-09, Vol.75 (5), p.75A139-75A146 [Periódico revisado por pares]

Tulsa, OK: Society of Exploration Geophysicists

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5
Modeling extra-deep electromagnetic logs using a deep neural network
Modeling extra-deep electromagnetic logs using a deep neural network
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Modeling extra-deep electromagnetic logs using a deep neural network

Alyaev, Sergey ; Shahriari, Mostafa ; Pardo, David ; Omella, Ángel Javier ; Larsen, David Selvag ; Jahani, Nazanin ; Suter, Erich

Geophysics, 2021-06, Vol.86 (3), p.E269-E281 [Periódico revisado por pares]

Society of Exploration Geophysicists

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6
3D self-potential tomography of seafloor massive sulfide deposits using an autonomous underwater vehicle
3D self-potential tomography of seafloor massive sulfide deposits using an autonomous underwater vehicle
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3D self-potential tomography of seafloor massive sulfide deposits using an autonomous underwater vehicle

Su Zhaoyang, Su Zhaoyang ; Tao Chunhui, Tao Chunhui ; Shen Jinsong, Shen Jinsong ; Revil, André ; Zhu Zhongmin, Zhu Zhongmin ; Deng Xianming, Deng Xianming ; Nie Zuofu, Nie Zuofu ; Li Qianyu, Li Qianyu ; Liu Long, Liu Long ; Wu Tao, Wu Tao ; Zhou Jianping, Zhou Jianping ; Chen Dong, Chen Dong

Geophysics, 2022-08, Vol.87 (4), p.B255-B267 [Periódico revisado por pares]

Society of Exploration Geophysicists

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7
Unsupervised contrastive learning for seismic facies characterization
Unsupervised contrastive learning for seismic facies characterization
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Unsupervised contrastive learning for seismic facies characterization

Li Jintao, Li Jintao ; Wu Xinming, Wu Xinming ; Ye Yueming, Ye Yueming ; Yang Cun, Yang Cun ; Hu Zhanxuan, Hu Zhanxuan ; Sun Xiaoming, Sun Xiaoming ; Zhao, Tao

Geophysics, 2023-01, Vol.88 (1), p.WA81-WA89 [Periódico revisado por pares]

Society of Exploration Geophysicists

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8
Convolutional neural network for seismic impedance inversion
Convolutional neural network for seismic impedance inversion
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Convolutional neural network for seismic impedance inversion

Das, Vishal ; Pollack, Ahinoam ; Wollner, Uri ; Mukerji, Tapan

Geophysics, 2019-11, Vol.84 (6), p.R869-R880 [Periódico revisado por pares]

Society of Exploration Geophysicists

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9
Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation
Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation
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Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation

Di, Haibin ; Li, Zhun ; Abubakar, Aria

Geophysics, 2022-03, Vol.87 (2), p.IM25-IM35 [Periódico revisado por pares]

Society of Exploration Geophysicists

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10
Accurate porosity prediction for tight sandstone reservoir; a case study from North China
Accurate porosity prediction for tight sandstone reservoir; a case study from North China
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Accurate porosity prediction for tight sandstone reservoir; a case study from North China

Wang Pu, Wang Pu ; Chen Xiaohong, Chen Xiaohong ; Li Jingye, Li Jingye ; Wang Benfeng, Wang Benfeng

Geophysics, 2020-03, Vol.85 (2), p.B35-B47 [Periódico revisado por pares]

Society of Exploration Geophysicists

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