Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method
Author:
Affiliation:
1. School of Geophysics and Information Technology, China University of Geosciences, Beijing, China
2. Department of Physics, University of Alberta, Edmonton, AB, Canada
3. BGP Inc., China National Petroleum Corporation (CNPC), Zhuozhou, China
Funder
National Nature Science Foundation of China
Research Project of China National Petroleum Corporation
Fundamental Research Funds for the Central Universities
China National Key Research Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10021627.pdf?arnumber=10021627
Reference43 articles.
1. Using multicomponent seismic for reservoir characterization in Venezuela
2. Hypercomplex Fourier Transforms of Color Images
3. Compensating for the effects of gas clouds onC-wave imaging: A case study from Valhall
4. Irregular seismic data reconstruction based on exponential threshold model of POCS method
5. Enhanced density estimation from prestack inversion of multicomponent seismic data
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1. Multicomponent Seismic Data Reconstruction via Anti-Aliasing Vector POCS Method;Journal of Earth Science;2024-08
2. An algebraic algorithm for the diagonalization of a biquaternion matrix in the biquaternionic mechanics;Computational and Applied Mathematics;2024-05-04
3. Deep Learning-Based Data-Driven P-/S-Wave Vector Decomposition for Multicomponent Seismic Data;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Orthogonal dictionary learning based on l 4 -Norm maximisation for seismic data interpolation;Exploration Geophysics;2023-05-18
5. Correction to “Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method”;IEEE Transactions on Geoscience and Remote Sensing;2023
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