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Keywords: curvelet
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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745669
... method of simultaneous Vz noise attenuation and P/Z calibration in the 3D curvelet domain. Furthermore, we will demonstrate that our new 3D method outperforms a 2-pass 2D curvelet approach. We will also assess the effect and necessity of Vz attenuation prior to shot carpet regularization. Both...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3595031
... In this paper, we study one of the key elements of seismic compressive sensing (CS) – the sparse transform. CS reconstruction properties of the 2D curvelet transform are considered with application to the SEAM Barrett model data. We considered two CS reconstruction tests: (i) when a sampling...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215320
...: Poster seismic data information online dictionary learning seismic signal neural network noise joint dictionary learning seis-re net dataset machine learning annual meeting curvelet random noise seismic noise removal dictionary learning seg international exposition artificial...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214542
... innovation residual noise utilizing curvelet guided noise attenuation with JSR commonality as signal guide; (3) Summing commonality and denoised innovations to produce enhanced merge image. We present two case studies that demonstrate the effectiveness and flexibility of this merge workflow: (1) Merging...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2997252
... seg international exposition linearized bregman algorithm curvelet noisy data correct amplitude correspond reservoir characterization microseismic source curvelet transform upstream oil & gas noise Neelamani , R. , A. I. Baumstein , D. G. Gillard , M. T. Hadidi...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13453668
.... The MCCF results are compared with other strong coherency filter utilizing Discrete Curvelet Transform (DCT). We conclude that MCCF surpasses DCT in terms of removing coherent noise and the strategy employing MCCF prior to DCT provides superior results in terms of noise attenuation comparing to results...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13710124
... ABSTRACT In this paper, we present a novel algorithm that performs adaptive subtraction of a multiple model in the curvelet domain. The algorithm is based on the observation that the predicted model is an imperfect estimate of the actual multiples, containing two types of error: 1...
Proceedings Papers

Paper presented at the 2014 SEG Annual Meeting, October 26–31, 2014
Paper Number: SEG-2014-1228
... Summary In this paper, we propose a distance measure to evaluate visual similarity between two images. The algorithm searches for adaptive curvelet parameters that better represent a reference image. Next, the distance between the reference image and other images is computed as a weighted sum...
Proceedings Papers

Paper presented at the 2013 SEG Annual Meeting, September 22–27, 2013
Paper Number: SEG-2013-0737
... Summary Curvelet transforms have been widely used for seismic process. Formerly, in practice, we usually split 3D seismic data into 2D data in inline, crossline and horizontal directions, and applied the process in sequence with the 2D curvelet transform. 3D seismic process with 2D curvelet...
Proceedings Papers

Paper presented at the 2013 SEG Annual Meeting, September 22–27, 2013
Paper Number: SEG-2013-1127
... SUMMARY Curvelet noise attenuation (CNA) has proven to be an excellent technique for suppression of incoherent, as well as coherent noise in seismic data. The basic implementation of CAN involves thresholding of the coefficients in the curvelet domain and it can handle only data...
Proceedings Papers

Paper presented at the 2013 SEG Annual Meeting, September 22–27, 2013
Paper Number: SEG-2013-1328
... SUMMARY Wave atoms are a low-redundancy alternative to curvelets, suitable for high-dimensional seismic data processing. This abstract extends the wave atom orthobasis construction to 3D, 4D, and 5D Cartesian arrays, and parallelizes it in a shared-memory environment. An implementation...
Proceedings Papers

Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-3650
... curvelet seismic data Seismic data compression and regularization via wave packets Shen Wang , Purdue University, Jianchao Li, Stephen K. Chiu, and Phil D. Anno, ConocoPhillips SUMMARY Seismic data compression and regularization are crucial, faced with large data volumes and incomplete data...
Proceedings Papers

Paper presented at the 2009 SEG Annual Meeting, October 25–30, 2009
Paper Number: SEG-2009-2362
...Illumination analysis of wave-equation imaging with curvelets Shen Wang , Maarten V. de Hoop and Bjørn Ursin SUMMARY We present a comprehensive framework for wave-equation il- lumination analysis and introduce a target-oriented illumina- tion correction that simultaneously accounts for limited...
Proceedings Papers

Paper presented at the 2009 SEG Annual Meeting, October 25–30, 2009
Paper Number: SEG-2009-3356
... noisy data optimization problem curvelet coefficient incoherent noise suppression seg houston 2009 coefficient upstream oil & gas curvelet white noise reservoir characterization herrmann curvelet transform noise seismic data hennenfent operator artificial intelligence...
Proceedings Papers

Paper presented at the 2008 SEG Annual Meeting, November 9–14, 2008
Paper Number: SEG-2008-2122
... fourier domain herrmann helmholtz equation frequency domain time domain stable signal recovery recovery curvelet iteration upstream oil & gas frequency subset computation fourier transform measurement basis marmousi model artificial intelligence algorithm hennenfent...
Proceedings Papers

Paper presented at the 2008 SEG Annual Meeting, November 9–14, 2008
Paper Number: SEG-2008-1996
... herrmann hennenfent sparsity migration van den berg curvelet spiky deconvolution original reflectivity reflectivity artificial intelligence reconstruction algorithm candés operator deconvolution upstream oil & gas optimization problem reflectivity model friedlander non...
Proceedings Papers

Paper presented at the 2007 SEG Annual Meeting, September 23–28, 2007
Paper Number: SEG-2007-2225
... INTRODUCTION SUMMARY In this paper, we recover the amplitude of a seismic image by approximating the normal (demigration-migration) operator. In this approximation, we make use of the property that curvelets remain invariant under the action of the normal operator. We propose a seismic...
Proceedings Papers

Paper presented at the 2007 SEG Annual Meeting, September 23–28, 2007
Paper Number: SEG-2007-2510
... ABSTRACT In this abstract, we present a novel primary-multiple separation scheme which makes use of the sparsity of both primaries and multiples in a transform domain, such as the curvelet transform, to provide estimates of each. The proposed algorithm utilizes seismic data as well...
Proceedings Papers

Paper presented at the 2007 SEG Annual Meeting, September 23–28, 2007
Paper Number: SEG-2007-2220
... SUMMARY In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic processing flow, consisting of the following steps: seismic data regularization and the restoration of migration amplitudes. We show that the curvelet’s wavefront detection capability...
Proceedings Papers

Paper presented at the 2007 SEG Annual Meeting, September 23–28, 2007
Paper Number: SEG-2007-1997
... successfully be recovered from an imcomplete set of measurements when the measurement basis is incoherent with the representation in which the wavefield is sparse. In this new approach, the eigenfunctions of the Helmholtz operator are recognized as a basis that is incoherent with curvelets that are known...

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