3D relative geologic time estimation with deep learning

Author:

Bi Zhengfa1,Geng Zhicheng2,Gao Hang1,Wu Xinming1,Li Haishan3

Affiliation:

1. University of Science and Technology of China

2. University of Texas at Austin

3. PIPEDNWGI, Petrochina

Publisher

Society of Exploration Geophysicists

Reference48 articles.

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2. Bader, S., K. Spikes, and S. Fomel, 2018, Missing well-log data prediction using Bayesian approach in the relative-geologic time domain: 88th Annual International Meeting, SEG, Expanded Abstracts, 804–808, doi: 10.1190/segam2018-2997278.1.

3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

4. Chen, L.C., G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, 2014, Semantic image segmentation with deep convolutional nets and fully connected crfs: arXiv preprint arXiv:1412.7062.

5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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