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| Keywords | |
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SVD method |
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wavelet threshold de- noising method |
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random noise |
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noise separation |
| Authors | |
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JIANG Yu-Hang |
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LIU Cai |
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SONG Chao |
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GAO Yue |
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LU Qi |
| PubMed | |
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Article by Jiang, Y. H. |
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Article by Liu, C. |
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Article by Song, C. |
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Article by Gao, Y. |
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Article by Lu, Q. |
Method on random noise separation from poststack seismic data based on SVD
JIANG Yu-Hang, LIU Cai, SONG Chao, GAO Yue, LU Qi
1. College of Geo- exploration Science and Technology��Jilin University��Changchun 130026��China; 2. Key Laboratory of Groundwater ��esources and Environment��Ministry of Education��Jilin University��Changchun 130021��China
The authors present a new method of random noise separation from poststack seismic data based on SVD�� If the events of seismic profile are horizontal or closely horizontal��this method can separate the random noise from the seismic data validly and greatly improve the resolution of the seismic profile�� In order to demonstrate the validity and high efficiency of de- noising method based on SVD��the authors set up model experiments firstly��then add random noise into the synthetic seismic data and field data�� The noisy synthetic seismic data and field data with SVD method and wavelet threshold de- noising method have been processed respectively�� The results show that com- pared with wavelet threshold de- noising method��SVD method can separate the random noise from the seismic data more validly and efficiently��