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The AAPG/Datapages Combined Publications Database

Showing 122 Results. Searched 201,044 documents.

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P-Wave Impedance, S-Wave Impedance and Density from Linear AVO Inversion: Application to a VSP Data from Alberta

Faranak Mahmoudian

Search and Discovery.com

... of the inverse problem. The damped SVD (singular value decomposition) method has been utilized to stabilize the AVO inversion. The examination...

Unknown

P-Wave Impedance, S-Wave Impedance and Density from Linear AVO Inversion: Application to a VSP Data from Alberta

Faranak Mahmoudian

Search and Discovery.com

... of the inverse problem. The damped SVD (singular value decomposition) method has been utilized to stabilize the AVO inversion. The examination...

Unknown

Abstract: Ground Roll Attenuation via SVD and Adaptive Subtraction; #90171 (2013)

Peter Cary and Changjun Zhang

Search and Discovery.com

... singular-value decomposition (SVD) within localized time-space windows to estimate the ground roll and other forms of coherent noise in the data...

2013

Abstract: Ground Roll Attenuation via SVD and Adaptive Subtraction; #90171 (2013)

Peter Cary and Changjun Zhang

Search and Discovery.com

... singular-value decomposition (SVD) within localized time-space windows to estimate the ground roll and other forms of coherent noise in the data...

2013

Analysis of rank-reduction methods for filtering and interpolation

Rafael Manenti, Mauricio D. Sacchi

International Meeting for Applied Geoscience and Energy (IMAGE)

..., is the Singular Value Decomposition (SVD). However, rank-reduction can be more effectively using Lanczos bidiagonalization, QR decomposition, randomized SVD (R-SVD...

2022

Memory-efficient frequency-domain least-squares RTM using low-rank Greens functions via randomized SVD

Daniel E. Revelo, Reynam C. Pestana, Diego F. Barrera, Rodrigo S. Santos

International Meeting for Applied Geoscience and Energy (IMAGE)

.... FLSRTM using low-rank Green’s functions decomposed via singular value decomposition (SVD) can be used to alleviate this constraint. Nevertheless, SVD...

2024

Abstract: Broadband Acoustic Impedance Reconstruction from Band-Limited Seismic Reflection Data: A Feasibility Study from First Principles; #90255 (2017)

Animesh Mandal, Santi Ghosh

Search and Discovery.com

... by the adoption of the singular value decomposition (SVD) method of finding an optimal solution to the set of formulated linear equations, provided the objective...

2017

Abstract: Differentiation of silicic segregations in the Ferrar dolerites, Antarctica

Karina Zavala, George W. Fisher

Atlantic Geology

... the host dolerite. The Singular Value Decomposition (SVD) matrix technique and the thermodynamic program MELTS were used to determine the temperature...

2006

Improving Microseismic Denoising Using 4D (Temporal) Tensors and High-Order Singular Value Decomposition

Keyla Gonzalez, Eduardo Gildin, Richard L. Gibson Jr.

Unconventional Resources Technology Conference (URTEC)

... subsurface measurements. Bekara and van der Baan (2007) demonstrated the application of local singular value decomposition (SVD) to enhance seismic signals...

2021

An efficient L-BFGS-based approach to estimate the uncertainty of full-waveform inversions

Yongbo Zhai, Xin Cheng, Robert Bloor, Denes Vigh, Zhen Xu

International Meeting for Applied Geoscience and Energy (IMAGE)

... framework of the FWI is presented. Then, the L-BFGS method workflow is outlined. A review of the randomized singular value decomposition (SVD) method...

2022

Low-rank representation for reflectivity model and its applications in least-squares migration

Jidong Yang, Jianping Huang, Hejun Zhu, George McMechan

International Meeting for Applied Geoscience and Energy (IMAGE)

... for seismic reflectivity models. Within the global singular value decomposition (SVD) framework, singular vectors delineate elementary modes...

2024

Abstract: Quality Enhancement of 3D Seismic Data Using Anisotropic Diffusion Method; #90255 (2017)

Yahya Moradi Chaleshtori, Abdolah Kiani, Keyvan Najafzadeh

Search and Discovery.com

... applying the method on a 3D stacked data and comparing them to outputs of other conventional methods such as Singular Value Decomposition (SVD...

2017

Monitoring Coal Seam Gas Depressurisation Using Magnetotellurics, #41786 (2016).

Nigel Rees, Graham Heinson, Lars Krieger

Search and Discovery.com

... distortion effects. Secondly, we apply eigenanalysis and singular value decomposition (SVD) methods to the distortion tensor. Both techniques can be used...

2016

WVD, Singular Value Decomposition Extended to Three Dimensional Space and Beyond

Xishuo Wang

Search and Discovery.com

... arranged as a matrix A of Nr rows by Nc columns has its Singular Value Decomposition (SVD): Aij ¦O u v (U /V t )ij l il jl , (1) l in which...

Unknown

WVD, Singular Value Decomposition Extended to Three Dimensional Space and Beyond

Xishuo Wang

Search and Discovery.com

... arranged as a matrix A of Nr rows by Nc columns has its Singular Value Decomposition (SVD): Aij ¦O u v (U /V t )ij l il jl , (1) l in which...

Unknown

Polarization Filter by Eigenimages and Adaptive Subtraction to Attenuate Surface-Wave Noise; #41565 (2015)

Stephen Chiu, Norman Whitmore, Michael Gurch

Search and Discovery.com

...) employed eigenimages derived from singular value decomposition (SVD) on the data matrix to enhance signals from a noisy background. Kendall et al. (2005...

2015

Abstract: Smart Supergrouping Improves Residual Static Estimation in Areas with Challenging Seismic Data Quality; #90254 (2016)

Pavel Golikov, Maxim Dmitriev, Andrey Bakulin, Dmitry Neklyudov, Rienk Lakeman

Search and Discovery.com

... weights derived by singular value decomposition (SVD) analysis of the input traces in the frequency domain. These complex weights have amplitude...

2016

Abstract: A Low Rank Based Seismic Data Interpolation Via Frequency-Patches Transform and Low Rank Space Projection; #90224 (2015)

Zhengsheng Yao, Mike Galbraith, and Randy Kolesar

Search and Discovery.com

.... During the interpolation iteration, instead of applying singular value decomposition to limit low rank, the low rank reduction is carried out...

2015

Abstracts: Evaluation of a Fast Algorithm for the Eigen-Decomposition of Large Block Toeplitz Matrices with Application to 5D Seismic Data Interpolation; #90173 (2015)

Jianjun Gao, Vicente Oropeza, and Mauricio D. Sacchi

Search and Discovery.com

..., requires the application of the Singular Value Decomposition (SVD) to estimate a few dominant eigenvectors of the Block Toeplitz form. This paper...

2015

Multichannel seismic deconvolution via 2D K-SVD and convolutional sparse coding

Guiqian Zhang, Xiayu Gao, Bangli Zou, Yaojun Wang, Yingzhu Chen

International Meeting for Applied Geoscience and Energy (IMAGE)

...-means Singular Value Decomposition (KSVD) (Aharon et al., 2006) and convolutional sparse coding (CSC) to learn lateral continuity features from...

2023

Robust seismic data denoising based on factor group-sparse regularization

Mi Zhang, Yang Liuy, Jingming Liy, Gui Cheny

International Meeting for Applied Geoscience and Energy (IMAGE)

.... A multi-channel singular spectrum analysis method is proposed (Oropeza and Sacchi, 2011), in which the truncated singular value decomposition is applied...

2024

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