A Prior Regularized Full Waveform Inversion Using Generative Diffusion Models
Author:
Affiliation:
1. Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Funder
King Abdullah University of Science and Technology
DeepWave Consortium sponsors
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10328845.pdf?arnumber=10328845
Reference26 articles.
1. MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
2. Deep-learning assisted regularized elastic full waveform inversion using the velocity distribution information from wells
3. Improving diffusion models for inverse problems using manifold constraints;chung;arXiv 2206 00941,2022
4. Stochastic Seismic Waveform Inversion Using Generative Adversarial Networks as a Geological Prior
5. Deep-Learning Inversion of Seismic Data
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3. Conditional Denoising Diffusion Probabilistic Model for Seismic Diffraction Separation and Imaging;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Physics-Informed Robust and Implicit Full Waveform Inversion Without Prior and Low-Frequency Information;IEEE Transactions on Geoscience and Remote Sensing;2024
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