Abstract

LUQUE, Rubén; HURTADO, Nuri; OVALLES, Asdrúbal  and  RICAURTE, Pablo. Application of an adaptive polarization filter based on singular value decomposition (SVD). Rev. Fac. Ing. UCV [online]. 2014, vol.29, n.1, pp.13-18. ISSN 0798-4065.

In geophysics, a seismic record is considered an image of the subsurface. In this paper a filtering adaptive technique has been introduced that allows highlighting selective seismic events according to its polarization. This technique consists in the implementation of a polarizing filter based on the Single Value Decomposition (SVD). The SVD has a great variety of application in the processing of signals and images. In this work it was applied to synthetic multi-component seismic data arising through an elastic modeling program. As a result, it was possible the reconstructing of the seismic image generated after the two first eigenimages, reproducing the polarization of attributes (rectilinearity and planarity) of the moving particles, suppressing the high frequency random sound and improving the signal-noise ratio. This allows obtaining a clear and coherent image of the associated seismic events to the primary energies of reflection.

Keywords : SVD filter; Polarization filter; Eigenimages; Seismic noise.

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