Deep learning for joint geophysical inversion of seismic and MT data sets-Reference-Cited by-同舟云学术

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Deep learning for joint geophysical inversion of seismic and MT data sets

Published:2021-09-01 Issue: Volume: Page:
ISSN:
Container-title:First International Meeting for Applied Geoscience & Energy Expanded Abstracts
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Author:

Pratap Singh Abhinav¹,Vashisth Divakar¹,Srivastava Shalivahan¹

Affiliation:

1. Indian Institute of Technology, Indian School of Mines, India.

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2021-3583955.1

Reference15 articles.

1. Resolving a low-velocity zone with surface-wave data

2. Kingma, D. P., and J. Ba, 2014, Adam: A method for stochastic optimization: arXiv preprint arXiv:1412.6980, 2014 - arxiv.org.

3. Deep-Learning Inversion of Seismic Data

4. Delineation of sediments below flood basalts by joint inversion of seismic and magnetotelluric data

Cited by 2 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. Deep Learning in Geophysics: Current Status, Challenges, and Future Directions;Journal of the Korean Society of Mineral and Energy Resources Engineers;2024-02-28

2. Evaluation of the Possibilities Validation of Interval Velocity Models Using Non-Seismic Data and Its Impact on Geological Interpretation of PreSDM Results;Applied Sciences;2023-09-04

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