Deep-learning seismic facies on state-of-the-art CNN architectures-Reference-Cited by-同舟云学术

Deep-learning seismic facies on state-of-the-art CNN architectures

Published:2018-08-27 Issue: Volume: Page:
ISSN:
Container-title:SEG Technical Program Expanded Abstracts 2018
language:
Short-container-title:

Author:

Dramsch Jesper S.¹^ORCID,Lüthje Mikael¹

Affiliation:

1. Technical University of Denmark

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2018-2996783.1

Reference18 articles.

1. Abadi, M., A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mane, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viegas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, 2015, TensorFlow: Large-scale machine learning on heterogeneous systems. (Software available from tensorflow.org).

2. Theoretical Models of Learning to Learn

3. Charles Rutherford Ildstad, P. B., 2017, MalenoV. Machine learning of Voxels.

4. Chollet, F., et al. 2015, Keras, https://github.com/fchollet/keras.

5. Dahl, G. E., T. N. Sainath, and G. E. Hinton, 2013, Improving deep neural networks for LVCSR using rectified linear units and dropout: Presented at the IEEE International Conference on Acoustics Speech and Signal Processing.

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Seismic facies analysis using machine learning techniques: a review and case study;Earth Science Informatics;2024-07-17

2. 3D seismic facies recognition based on region growing;Frontiers in Earth Science;2024-01-16

3. Polarity-Constrained Dual-Cycle Generative Adversarial Networks for Irregularly Sampled Seismic Data Reconstruction;IEEE Transactions on Geoscience and Remote Sensing;2024

4. A flexible deep learning crater detection scheme using Segment Anything Model (SAM);Icarus;2024-01

5. Optimizing Seismic Facies Classification Through Differentiable Network Architecture Search;IEEE Transactions on Geoscience and Remote Sensing;2024