Abstract: Model Parametrization Strategies for Newton-Based Acoustic Full Waveform Inversion; #90224 (2015)

Amsalu Y. Anagaw

Search and Discovery.com

... by changing the characteristic nature of the Hessian matrix. In this paper, Singular Value Decomposition (SVD) analysis on the Hessian matrix from a small...

F-xy Cadzow Noise Suppression

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... the singular-value decomposition (SVD): A = U S VH where U and V are unitary matrices with column vectors u i and v i respectively, H is the conjugate...

Abstract: Robust Singular Spectrum Analysis for Erratic Noise Attenuation; #90187 (2014)

Ke Chen and Mauricio D. Sacchi

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... filtering, equations truncated singular value decomposition (TSVD) or fast approximations to TSVD for rank-reduction. SSA is efficient for attenuating...

Abstract: A Generic Procedure for Noise Suppression in Microseismic Data; #90187 (2014)

Yessika Blunda and Kit Chambers

Search and Discovery.com

... Halliburton for permission to present this work. References Bekara, M. and Baan, M.v.d., 2007. Local singular value decomposition for signal...

Abstract: Rank-Reduction-Based Trace Interpolation; #90172 (2014)

Stewart Trickett, Lynn Burroughs, Andrew Milton, Larry Walton, Rob Dack

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..., for example, Trickett, 2003), also called truncated singular-value decomposition, principal-component analysis, subspace filtering, and many other...

Production Forecasting in Shale Volatile Oil Reservoirs Using Reservoir Simulation, Empirical and Analytical Methods

Ibukun Makinde, W. John Lee

Unconventional Resources Technology Conference (URTEC)

...ly involves representing the well production data in matrix form and using singular value decomposition (SVD) to calculate the principal componen...

Abstract: Resolvability Analysis of Single Azimuth Seismic Moment Tensor Inversion; #90171 (2013)

Ismael Vera Rodriguez and Mauricio D. Sacchi

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... computed with the singular value decomposition (SVD) method. From (7), it can be seen that when G† = G-1 the resolution matrix is equal to the identity...

Abstract: Robust Rank-Reduction Filters for Erratic Noise; #90174 (2014)

Stewart Trickett, Lynn Burroughs, and Andrew Milton

Search and Discovery.com

... a fast approximation to a truncated Singular Value Decomposition (truncated SVD). See Trickett (2003) and Gao, Sacchi, and Chen (2011...

Abstract: Adaptive f-xy Hankel Matrix Rank Reduction Filter to Attenuate Coherent Noise; #90174 (2014)

Nirupama (Pam) Nagarajappa

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... on randomized singular value decomposition (SVD) is used. The method works on 3D f-xy data that is reordered in a modified shot order. I demonstrate...

Development of Agile Framework for Model-Order Reduction of Large-Scale Geomechanical Models: A Novel Workflow for Coupled Simulations

Patrick Morkos, Eduardo Gildin

Unconventional Resources Technology Conference (URTEC)

... of the reduced models, two main criteria were investigated; namely, modal assurance criterion (MAC) and singular value decomposition (SVD...

Ground Roll Polarization Filtering with Spatial Smoothness Constraints

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... Value Decomposition (SVD) on D t , or a Principal Component Analysis D tH D t with H indicating the Hermitian transpose. The ground roll amplitudes can...

A field data application of RockAVO: Data-driven, direct petrophysical inversion of prestack seismic data

Miguel Corrales, Hussein Hoteit, Matteo Ravasi

International Meeting for Applied Geoscience and Energy (IMAGE)

... intersecting the well trajectory, enabling well-log comparison post-inversion. The next step involves applying Singular Value Decomposition (SVD...

A Towed Streamer EM System Performance Case Study

Folke Engelmark, Allan McKay, Johan Mattsson

Indonesian Petroleum Association

... the discrete signal frequencies there is nothing but noise that can be removed. The method is based on singular value decomposition (SVD) of a suitable...

Abstract: Uncertainty Space for Microseismic Event Locations using a Double Difference Algorithm; #90174 (2014)

Timur Mukhtarov

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... relocation quality, it is necessary to include the real observation coverage in the algorithm. To quantify observation coverage, singular value decomposition...

ABSTRACT: Improving Curvature Analyses of Deformed Horizons Using Scale-Dependent Filtering Techniques; #90013 (2003)

Stephan Bergbauer, Tapan Mukerji, Peter H. Hennings

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... the suitability of four numerical techniques (Fourier analysis, wavelet transform filtering, singular value decomposition, factorial kriging...

Can tile low-rank compression live up to expectations? An application to 3D multidimensional deconvolution

Yuxi Hong, Matteo Ravasi, Hatem Ltaief, David Keyes

International Meeting for Applied Geoscience and Energy (IMAGE)

... are compressed in a tile low-rank fashion, i.e., the matrix is divided into tiles and a singular value decomposition (SVD) is applied to each tile...

The Investigation Of An Integrative Approach For Fracture Density Inversion Using AzAVO Analysis

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ABSTRACT: I have a Footprint on my Seismic Data, now what ? New Workflows for Improving Post-Stack Seismic Data; #90133 (2011)

Oswaldo Davogustto and Kurt J. Marfurt

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... filtering, kx-ky filtering, and limited data reconstruction using singular value decomposition. Application to legacy land data from U.S. mid –continent...

Abstracts: FX Cadzow / SSA Random Noise Filter: Frequency Extension; #90173 (2015)

Alexander Falkovskiy, Elvis Floreani, Gerry Schlosser

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... value decomposition (SVD). Then Fourier coefficient for each trace is in A, and an recovered from the rank-reduced matrix by averaging over multiple...

Abstract: Multi-component or Vector Dip Filtering Using the S-transform; #90187 (2014)

Kristof De Meersman and Majda Mihoub

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... (velocity) and polarization properties and which involves computing the singular value decomposition (SVD) of the data matrix D. The left singular vectors...

Multicomponent seismic data vector reconstruction via quaternionic matrix factorization

Yonghai Fu, Jianjun Gao, Wenbo Sun, Yandong Wang, Fan Li

International Meeting for Applied Geoscience and Energy (IMAGE)

...× 50× 50 having an overlap of 20% for spatial dimensions. Figure 2a shows the singular value distribution of a patch at the dominant frequency of 25 Hz...

Adaptive Eigen-structure Classification and Stochastic Decorrelation Filters for Coherent Interference Suppression in the Acoustic Zoom Method

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Abstract: Rank Reduction Processing of 3-D Prestack Seismic Data for the Geomechanical Inversion of an Unconventional Reservoir and its Caprock, Moncton Basin, Canada; #90310 (2017)

Mathieu J. Duchesne, Gilles Bellefleur, Nicolas Pinet, Virgina I. Brake

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... uncertainty. In this method, data are first rearranged into a Hankel matrix. Then, singular value decomposition of the Hankel matrix is used to eliminate...

Abstract: A Ray+Waveform Inversion for the Potency Tensor; #90187 (2014)

Scott Leaney and Chris Chapman

Search and Discovery.com

...6. Freire, S.L.M. and Ulrych, T.J., 1988, Application of singular value decomposition to vertical seismic profiling: Geophysics, 53, 778. Han, J.Y., ...

Geochemical Identification of Clastic Sediment Provenance from Known Sources of Similar Geology: The Cretaceous Scotian Basin, Canada

Georgia Pe-Piper, Stavros Triantafyllidis, David J. W. Piper

Journal of Sedimentary Research (SEPM)

... logratio transformation (clr-transformation) and the PCA calculation was performed by singular-value decomposition (svd), as summarized by von Eynatten...