Automated active learning for seismic facies classification-Reference-Cited by-同舟云学术

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Automated active learning for seismic facies classification

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:Second International Meeting for Applied Geoscience & Energy
language:
Short-container-title:

Author:

Di Haibin¹,Truelove Leigh¹,Abubakar Aria¹

Affiliation:

1. Schlumberger

Publisher

Society of Exploration Geophysicists and American Association of Petroleum Geologists

Link

https://library.seg.org/doi/pdf/10.1190/image2022-3751163.1

Reference16 articles.

1. Incorporating Expert Feedback into Active Anomaly Discovery

2. A comparison of seismic saltbody interpretation via neural networks at sample and pattern levels

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

4. Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow

5. Seismic Fault Detection from Post-Stack Amplitude by Convolutional Neural Networks

Cited by 1 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. What samples must seismic interpreters label for efficient machine learning?;Third International Meeting for Applied Geoscience & Energy Expanded Abstracts;2023-12-14

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