De‐aliased and de‐noise Cadzow filtering for seismic data reconstruction-Reference-Cited by-同舟云学术

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De‐aliased and de‐noise Cadzow filtering for seismic data reconstruction

Published:2019-09-19 Issue:2 Volume:68 Page:553-571
ISSN:0016-8025
Container-title:Geophysical Prospecting
language:en
Short-container-title:Geophysical Prospecting

Author:

Huang Weilin¹^ORCID,Feng Deshan²,Chen Yangkang³

Affiliation:

1. State Key Laboratory of Petroleum Resources and ProspectingChina University of Petroleum‐BeijingBeijing 102249 China

2. School of Geosciences and Info‐PhysicsCentral South UniversityChangsha 410083 China

3. School of Earth SciencesZhejiang UniversityHangzhou Zhejiang Province 310027 China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Science Foundation of China University of Petroleum, Beijing

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.12867

Reference45 articles.

1. Seismic Random Noise Attenuation Using Synchrosqueezed Wavelet Transform and Low-Rank Signal Matrix Approximation

2. Accelerating seismic interpolation with a gradient projection method based on tight frame property of curvelet

3. Simultaneous seismic interpolation and denoising based on sparse inversion with a 3D low redundancy curvelet transform

4. CheminguiN.1996.Handling the irregular geometry in wide‐azimuth surveys. SEG Technical Program Expanded Abstracts 2106.

5. Clustering-based stress inversion from focal mechanisms in microseismic monitoring of hydrofracturing

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