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Singular-value decomposition (SVD)

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Proceedings Papers

Paper presented at the 2009 SEG Annual Meeting, October 25–30, 2009
Paper Number: SEG-2009-3386
... reconstruct signal singular value decomposition coherence seismic wave field separation apparent velocity international exposition noise attenuation separation target signal reservoir characterization singular value seismic data svd upstream oil & gas geophysics valid signal...
Proceedings Papers

Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-3717
... SUMMARY We present an adaptive singular value decomposition (SVD) filtering method for enhancement of the spacial coherence of the reflections and for the attenuation of the uncorrelated noise. The SVD filtering is performed on a small number of traces and a small number of samples collected...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13866459
... ABSTRACT Normally the singular value decomposition (SVD) filtering is applied in the tx (time x distance) domain, exploring the spatial correlation between a set of seismic traces. In this paper we present a single trace decomposition approach based on the SVD method. This approach works on...
Proceedings Papers

Paper presented at the 2011 SEG Annual Meeting, September 18–23, 2011
Paper Number: SEG-2011-2694
..., we apply singular-value decomposition (SVD) to evaluate pseudo-inverse solution. Introducing SVD into MDD opens the way of interpreting the effect of the source-receiver configuration in the inversion procedure by linear mapping theory. We numerically simulate the wavefield with two-dimensional...
Proceedings Papers

Paper presented at the 2009 SEG Annual Meeting, October 25–30, 2009
Paper Number: SEG-2009-1688
... the conventional crosscorrelation method (Wapenaar et al., 2008a; Wapenaar et al., 2008b). We apply MDD to crosswell geometry in order to retrieve crosswell impulse responses from surface sources using numerical modeling and field data. We adopted singular-value decomposition (SVD) for obtaining the...
Proceedings Papers

Paper presented at the 2013 SEG Annual Meeting, September 22–27, 2013
Paper Number: SEG-2013-1234
... events, with low frequency, and conserves the shape and frequency of sub-horizontal events. The Singular Value Decomposition (SVD) can be applied as a horizontal coherence filter, usually being used after the NMO correction, in the XT domain. This paper discusses the joint of the radial transform with...
Proceedings Papers

Paper presented at the 2006 SEG Annual Meeting, October 1–6, 2006
Paper Number: SEG-2006-2584
... decomposition upstream oil & gas svd value decomposition seismic migration fir digital filter mcclellan transformation implementation extrapolation reservoir characterization impulse response convolution fir digital filter parallel section singular value digital filter transformation...
Proceedings Papers

Paper presented at the 2003 SEG Annual Meeting, October 26–31, 2003
Paper Number: SEG-2003-1398
... Summary In this paper we present a new method for time-lapse signal enhancement using singular value decomposition (SVD). Singular value decomposition is used to separate a 4D signal into its constituent parts: common geology, time-lapse response and noise. This signal enhancement technique...
Proceedings Papers

Paper presented at the 2003 SEG Annual Meeting, October 26–31, 2003
Paper Number: SEG-2003-2044
.... Conventional processing methods, such as the high- pass, f – k and hyperbolic velocity filters, however, have certain disadvantages when handling actual seismic data. We present a new hybrid method combining the singular value decomposition (SVD) with a special linear transformation of the common- shot...
Proceedings Papers

Paper presented at the 2012 SEG Annual Meeting, November 4–9, 2012
Paper Number: SEG-2012-0119
... sweep of the encoder. This harmonic distortion reduces the quality of raw vibroseis data. Here, we present a new approach to eliminate the integer and fractional harmonic inferences produced by the coupling between base plate and ground. The method is based on singular value decomposition (SVD) in time...
Proceedings Papers

Paper presented at the 2012 SEG Annual Meeting, November 4–9, 2012
Paper Number: SEG-2012-0057
.... This paper analyzes the cause that leads to ill-conditioned matrix during data separation, introduces the basic principles of the singular value decomposition(SVD) method and gives a real case of data separation using the method. Other methods such as Gauss-Jordan elimination method can also achieve...
Journal Articles
Journal: SPE Journal
SPE Journal 15 (02): 495–508.
Paper Number: SPE-118952-PA
Published: 17 December 2009
... of individual sensitivity coefficients. Explicit computation of the sensitivities is avoided by using a partial singular value decomposition (SVD) based on a form of the Lanczos algorithm. At least for all synthetic problems that we have considered, the reliability, computational efficiency, and...
Proceedings Papers

Paper presented at the International Petroleum Technology Conference, December 7–9, 2009
Paper Number: IPTC-14042-MS
... a singular value decomposition (SVD) of the representative azimuthal AVO responses for the target reservoir. By means of singular value decomposition it is possible to calculate seismic attributes that provide a direct mapping with fracture density. This mapping is then used in the inversion of...
Proceedings Papers

Paper presented at the 2007 SEG Annual Meeting, September 23–28, 2007
Paper Number: SEG-2007-0259
... the amplitude changes with azimuth in terms of principal components, which are calculated via singular value decomposition (SVD). We present the method and illustrate its application to surface seismic with a synthetic example of multi-azimuth common-offset gathers with different fracture densities...
Proceedings Papers

Paper presented at the 2008 SEG Annual Meeting, November 9–14, 2008
Paper Number: SEG-2008-3244
... SUMMARY Tomographic velocity model building has become an industry standard for depth migration. Anisotropy of the Earth challenges tomography because the inverse problem becomes severely ill-posed. Singular value decomposition (SVD) of tomographic operators or, similarly, eigendecomposition...
Journal Articles
Journal of Canadian Petroleum Technology 34 (05): 55–62.
Paper Number: PETSOC-95-05-07
Published: 01 May 1995
... reservoir boundary and the appropriate boundaryconditions are written (no flow or isopotential). This leads to M linear, equations In N unknowns, which can be conveniently solved, using the Singular Value Decomposition (SVD) technique for the unknown rates-of the image wells. The iso-potentials, streamlines...
Proceedings Papers

Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-3539
... method. Bear in mind that the acceleration strategies for computing the singular value decomposition (SVD) that are proposed in this abstract are applicable to any rank reduc- tion filtering method. The method that we propose is based on the work of Rokhlin et al. (2009) and entails computing the SVD of...
Proceedings Papers

Paper presented at the 2011 SEG Annual Meeting, September 18–23, 2011
Paper Number: SEG-2011-3622
... Toeplitz matrix and rank re- duce this matrix via the Lanczos bidiagonalization algorithm, rather than using Singular Value Decomposition (SVD). The computational cost of the Lanczos bidiagonalization is dom- inated by the cost of multiplying a block Toeplitz matrix by a vector. The latter can be...
Journal Articles
Journal: SPE Journal
SPE Journal 1 (01): 3–9.
Paper Number: SPE-26428-PA
Published: 01 March 1996
... the singular value decomposition (SVD) methods. The minimization of the L1-norm included the least absolute values (LAV), the modified least absolute values (MLAV), the combination MLAV - LAV and the Nelder-Mead (polytope) method. Important characteristics of these were discussed, such as: constrained...
Proceedings Papers

Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-3986
... gathers by applying Singular Value Decomposition (SVD) to the crosscorelograms before stacking. The SVD approach preserves energy that is stationary in the crosscorrelogram, thus enhancing energy from sources in stationary positions, which interfere constructively, and attenuating energy from non...

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