4. Data Processing/Signal Processing
The Poststack Random Noise Reduction Applying Adaptive Wiener Filter
Cai Liu(1), Dian Wang(1), Yang Liu(1), Jun BAO. Yang(1), Mao PEI. Wang(1) and Motoyuki Sato(2)
(1) College Of Geo-Exploration Science and Technology, Jilin University, China. (2) Center for Northeast Asian Studies, Tohoku University, Japan.
Abstract
Unavoidable random noise not only lowers the signal-to-noise of seismic data but also decreases the accuracy of dynamic and static corrections, thus degrading final data quality, and it is often a problem in geophysical data visualization because it obscures fine details and complicates identification of profile features. It is very significant that we reduce random noise and protect useful information. Aiming at the poststack random noise elimination and adaptive filter in seismic prospecting, the paper introduces an adaptive wiener filter. On the base of comparing theoretical model result, the result show that the method can perfectly filter background noise with near half energy of useful information, improve the whole visage of seismic data. Results of using the method on poststack data from the Songliao basin in China demonstrate that the method is effective.
Last modified: Fri May 19 20:04:40 2006