Attenuation Compensation and Q Estimation of Nonstationary Data Using Semi-Supervised Learning
Author:
Affiliation:
1. State Key Laboratory of Marine Geology, School of Ocean and Earth Science, Tongji University, Shanghai, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10057026.pdf?arnumber=10057026
Reference22 articles.
1. Theory of nonstationary linear filtering in the Fourier domain with application to time‐variant filtering
2. Q estimation of seismic data using the generalized S-transform
3. Interval-Q estimation and compensation: An adaptive dictionary-learning approach
4. Semi-blind nonstationary deconvolution: Joint reflectivity and Q estimation
5. Prestack and poststack inversion using a physics-guided convolutional neural network
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1. Warped-Mapping-Based Multigather Joint Prestack Q Estimation;IEEE Transactions on Geoscience and Remote Sensing;2024
2. Enhanced Monitoring of Geological CO₂ Injection Through Seismic Attenuation Difference Estimation;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Multichannel seismic data attenuation compensation via curvelet‐based sparsity promotion;Geophysical Prospecting;2023-11-10
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