G
Gilles Hennenfent
Researcher at Chevron Corporation
Publications - 40
Citations - 1815
Gilles Hennenfent is an academic researcher from Chevron Corporation. The author has contributed to research in topics: Curvelet & Noise. The author has an hindex of 13, co-authored 37 publications receiving 1586 citations. Previous affiliations of Gilles Hennenfent include University of British Columbia.
Papers
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Non-parametric seismic data recovery with curvelet frames
TL;DR: A non-parametric transform-based recovery method is presented that exploits the compression of seismic data volumes by recently developed curvelet frames and performs well on synthetic as well as real data by virtue of the sparsifying property of curvelets.
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Simply denoise: Wavefield reconstruction via jittered undersampling
TL;DR: In this paper, a new discrete under-sampling scheme called jittered sub-Nyquist sampling (JSS) is proposed for wavefield reconstruction with sparsity-promoting inversion with transform elements localized in the Fourier domain.
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Seismic denoising with nonuniformly sampled curvelets
TL;DR: This extension of the fast discrete curvelet transform (FDCT) not only restores curvelet compression rates for nonuniformly sampled data but also removes noise and maps the data to a regular grid.
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Curvelet-based seismic data processing : A multiscale and nonlinear approach
TL;DR: It is shown that exploiting the curvelet's ability to sparsify wavefrontlike features is powerful, and the results are a clear indication of the broad applicability of this transform to exploration seismology.
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Nonequispaced curvelet transform for seismic data reconstruction: A sparsity-promoting approach
TL;DR: In this paper, a second generation of the fast discrete curvelet transform (NFDCT) is proposed. But the second generation is lossless unlike the first generation NFDCT.