Inversion using adaptive physics-based neural network: Application to magnetotelluric inversion
Author:
Affiliation:
1. Colorado School of Mines
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2021-3582218.1
Reference7 articles.
1. Solving ill-posed inverse problems using iterative deep neural networks
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5. A GENERAL FRAMEWORK FOR CONSTRAINT MINIMIZATION FOR THE INVERSION OF ELECTROMAGNETIC MEASUREMENTS
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1. Feature-based magnetotelluric inversion by variational autoencoder using a subdomain encoding scheme;GEOPHYSICS;2023-10-16
2. An Intelligent MT Data Inversion Method With Seismic Attribute Enhancement;IEEE Transactions on Geoscience and Remote Sensing;2023
3. Machine learning inversions incorporating geologic information through variational autoencoder and physics-based neural network;Second International Meeting for Applied Geoscience & Energy;2022-08-15
4. Inversion using adaptive physics‐based neural network: Application to magnetotelluric inversion;Geophysical Prospecting;2022-06-16
5. Inversion Using Adaptive Physics-Based Neural Network: Application to Magnetotelluric Inversion;Day 2 Tue, February 22, 2022;2022-02-21
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