Multi-Task Seismic Deep Learning Inversion Based on FCRN and GRU Hybrid Network
Author:
Affiliation:
1. Xi’an Jiaotong University,School of Mathematics and Statistics,Xi’an,China,710049
2. Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology,Shenzhen,China,518055
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282174.pdf?arnumber=10282174
Reference13 articles.
1. Application of Bi-directional Long Short-Term Memory Recurrent Neural Network for Seismic Impedance Inversion
2. Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network
3. Semisupervised sequence modeling for elastic impedance inversion
4. Seismic Inversion
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