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| Theoretical study on characteristic of weak signal and its identification |
| HAN Wen-gong1, ZHANG Jun-hua2 |
1 Shengli Oilfield,Sinopec,Dongying,Shandong,257000,China;
2 College of Geo-resources and Information,China University of Petroleum,Qingdao,Shandong,266555,China |
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Abstract Seismic weak signal is a real big challenge for seismic explorations.Based on amplitude characteristics of seismic weak signal in thick and thin layers,this paper analyzes the spectrum characteristics of seismic weak signal as well as the influence of noise on it.In addition,we conduct preliminary discussions about the detection and identification of weak signal using the singular value decomposition(SVD) and curvelet transform.The results indicate that: 1.It is basically impossible to detect weak signal by visual recognition when S/N0.5;2.For thin reservoirs,the tuning thickness could be identified if the S/N is 2;3.The spectrum of the weak signal involved in the adjacent strong reflection cannot show its characteristic;4.Horizontal weak events mixed with noise can be effectively detected by the SVD method while non-horizontal weak events mixed with noise can be detected by curvelet transform.
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Received: 27 April 2010
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2011, Vol. 46 
