Seismic Internal Multiple Attenuation Based on Unsupervised Deep Learning With a Local Orthogonalization Constraint
Author:
Affiliation:
1. School of Earth and Space Sciences, Institute of Energy, Institute for Artificial Intelligence, Peking University, Beijing, China
2. Petroleum and New Resources Company, PetroChina, Beijing, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
China National Petroleum Corporation-Peking University Strategic Cooperation Project of Fundamental Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10227333.pdf?arnumber=10227333
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1. Estimation of multiple scattering by iterative inversion, Part II: Practical aspects and examples
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3. Robust multiple suppression using adaptive beamforming
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5. Attenuation of complex water‐bottom multiples by wave‐equation‐based prediction and subtraction
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