Seismic data reconstruction based on Compressed Sensing

DOI

10.2991/iceeg-16.2016.10How to use a DOI?

Keywords

seismic data reconstruction, irregular and incomplete,compressive sensing, FISTA

Abstract

In seismic exploration, seismic data is always irregular and incomplete which will influence the subsequent processing. Therefore, seismic reconstruction of missing traces is very necessary. The seismic data reconstruction method based on compressive sensing (CS) has been applied widely in recent years. Comparing to traditional seismic data gathering, CS can reduce the acquisition cost, and allows for making new seismic acquisition designs. The fast iterative threshold shrinkage algorithm (FISTA) based on Fourier transform is an effective method to construct seismic data. CS can make use of the sparse property of signal through the nonlinear to reconstruct perfectly. In this paper, we first introduce CS theory and FISTA method. Then we test the reconstruction method by numerical examples and real seismic data reconstruction. As shown in paper, the reconstruction method based on CS theory is efficient.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaona Ma
AU  - Zhiyuan Li
AU  - Guanghe Liang
AU  - Pei Ke
PY  - 2016/06
DA  - 2016/06
TI  - Seismic data reconstruction based on Compressed Sensing
BT  - Proceedings of the 7th International Conference on Environment and Engineering Geophysics & Summit Forum of Chinese Academy of Engineering on Engineering Science and Technology
PB  - Atlantis Press
SP  - 34
EP  - 37
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceeg-16.2016.10
DO  - 10.2991/iceeg-16.2016.10
ID  - Ma2016/06
ER  -