Extracting Fresnel zones from migrated dip-angle gathers using a convolutional neural network-Reference-Cited by-同舟云学术

Extracting Fresnel zones from migrated dip-angle gathers using a convolutional neural network

Published:2020-07-30 Issue:2 Volume:52 Page:211-220
ISSN:0812-3985
Container-title:Exploration Geophysics
language:en
Short-container-title:Exploration Geophysics

Author:

Cheng Qian¹²³,Zhang Jianfeng⁴,Liu Wei⁵

Affiliation:

1. Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, People’s Republic of China

2. Institutions of Earth Science, Chinese Academy of Sciences, Beijing, People’s Republic of China

3. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, People’s Republic of China

4. Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, People’s Republic of China

5. School of Geophysics and Information Technology, China University of Geosciences, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Geology,Geophysics

Link

https://www.tandfonline.com/doi/pdf/10.1080/08123985.2020.1798755

Reference23 articles.

1. Specular ray parameter extraction and stationary‐phase migration

2. A Fast Learning Algorithm for Deep Belief Nets

3. Optimal migration aperture for conflicting dips

4. Separation and imaging of seismic diffractions using migrated dip-angle gathers

5. Krizhevsky, A., I. Sutskever, and G.E. Hinton. 2012. ImageNet classification with deep convolutional neural networks. In NIPS, 1106–14.

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