This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Design and Application of Optimal Velocity Filters in Seismic Exploration
July 1972 (vol. 21 no. 7)
pp. 648-654
R.L. Sengbush, Mobil Research and Development Corporation
Many seismic experiments result in multiple time series which can be decomposed into signal and additive noise, where the noise has both a coherent and an incoherent component. The signal and the two noise components are stationary second-order random functions. The time shifts, called moveouts, of the signal and coherent noise are random variables with known distributions. Wiener filter theory is used to design the filter system that gives the optimal signal estimate, based upon the moveout distributions and the power spectra of the various components of the data. Velocity filters are useful in seismic data processing to separate signal from noise on the basis of moveout (velocity) differences without distorting the basic shape of the signal.
Index Terms:
Frequency-wave number space, horizontally traveling noise suppression, seismic data processing, time and space variant filters, velocity filters, Wiener filter theory.
Citation:
R.L. Sengbush, M.R. Foster, "Design and Application of Optimal Velocity Filters in Seismic Exploration," IEEE Transactions on Computers, vol. 21, no. 7, pp. 648-654, July 1972, doi:10.1109/T-C.1972.223569
Usage of this product signifies your acceptance of the Terms of Use.