Generalization capability of data-driven deep learning models for seismic full-waveform inversion: An example using the OpenFWI dataset

Author:

Abdullin Ayrat1,Bin Waheed Umair1

Affiliation:

1. King Fahd University of Petroleum and Minerals

Publisher

Society of Exploration Geophysicists and American Association of Petroleum Geologists

Reference8 articles.

1. Deep-learning tomography

2. Seismic velocity estimation: A deep recurrent neural-network approach

3. Jin, P., X. Zhang, Y. Chen, S. X. Huang, Z. Liu, and Y. Lin, 2021, Unsupervised learning of full-waveform inversion: Connecting CNN and partial differential equation in a loop: Presented at International Conference on Learning Representations (ICLR).

4. Geophysical inversion versus machine learning in inverse problems

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