Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression-Reference-Cited by-同舟云学术

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Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

Pan Chuang¹,Huang Yiran²,Wang Qingzhen³,Li Jun¹,Xu Jianhua⁴

Affiliation:

1. Nanjing Normal University,School of Artificial Intelligence School of Computer and Electronic Information,Nanjing,China

2. Boston University,School of Arts and Sciences,Department of Computer Science,Boston,USA

3. CNOOC Research Institute Ltd,National Engineering Research Center of Offshore Oil and Gas Exploration,Beijing,China

4. Nanjing Normal University,School of Artificial Intelligence,Nanjing,China

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651242.pdf?arnumber=10651242

Reference38 articles.

1. Seismic Exploration Methods

2. Seismic Hydrocarbon Exploration

3. An overview of full-waveform inversion in exploration geophysics

4. A review on reflection-waveform inversion

5. Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows

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