Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Gilles Hennenfent"'
Autor:
Ge Zhan, Yao Zhao, Cheng Cheng, Josef Heim, Weihong Fei, Mike Craven, Scott Baker, Gilles Hennenfent
Publikováno v:
Second International Meeting for Applied Geoscience & Energy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b518181b141a681f7f2a874e3d3653
https://doi.org/10.1190/image2022-3750545.1
https://doi.org/10.1190/image2022-3750545.1
Publikováno v:
SEG Technical Program Expanded Abstracts 2018.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::980a307617ac675556de7ab1fe429321
https://doi.org/10.1190/segam2018-2996474.1
https://doi.org/10.1190/segam2018-2996474.1
Publikováno v:
SEG Technical Program Expanded Abstracts 2018.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df309c7d3105607ff879d9e7d8792631
https://doi.org/10.1190/segam2018-2975383.1
https://doi.org/10.1190/segam2018-2975383.1
Publikováno v:
Interpretation. 3:SV35-SV44
Pay in tight-rock reservoirs is often associated with organic richness. The assumption is that the low permeabilities of the source rock do not allow for the migration of the hydrocarbon generated during the thermal maturation process. If core data a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d56b32c2af664a0905130898b37495db
https://doi.org/10.1190/int-2014-0267.1
https://doi.org/10.1190/int-2014-0267.1
Autor:
Ozgur Yilmaz, Rayan Saab, Michael P. Friedlander, Felix J. Herrmann, Ewout van den Berg, Gilles Hennenfent
Publikováno v:
ACM Transactions on Mathematical Software. 35:1-16
Sparco is a framework for testing and benchmarking algorithms for sparse reconstruction. It includes a large collection of sparse reconstruction problems drawn from the imaging, compressed sensing, and geophysics literature. Sparco is also a framewor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f1f61ec5e1907acdb5c0a99de136392
https://doi.org/10.1145/1462173.1462178
https://doi.org/10.1145/1462173.1462178
Publikováno v:
GEOPHYSICS. 73:A23-A26
Geophysical inverse problems typically involve a trade-off between data misfit and some prior model. Pareto curves trace the optimal trade-off between these two competing aims. These curves are used commonly in problems with two-norm priors in which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c736096864d2ade17e5f8c2a2eeb0df
https://doi.org/10.1190/1.2944169
https://doi.org/10.1190/1.2944169
Autor:
Felix J. Herrmann, Gilles Hennenfent
Publikováno v:
GEOPHYSICS. 73:V19-V28
We present a new, discrete undersampling scheme designed to favor wavefield reconstruction by sparsity-promoting inversion with transform elements localized in the Fourier domain. The work is motivated by empirical observations in the seismic communi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::787717c5dc42baf96dc5cc3a6eae4a05
https://doi.org/10.1190/1.2841038
https://doi.org/10.1190/1.2841038
Autor:
Gilles Hennenfent, Felix J. Herrmann
Publikováno v:
Geophysical Journal International. 173:233-248
SUMMARY Seismic data recovery from data with missing traces on otherwise regular acquisition grids forms a crucial step in the seismic processing flow. For instance, unsuccessful recovery leads to imaging artefacts and to erroneous predictions for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15288ee4204264b99b303f149ccbc2dd
https://doi.org/10.1111/j.1365-246x.2007.03698.x
https://doi.org/10.1111/j.1365-246x.2007.03698.x
Publikováno v:
GEOPHYSICS. 73:A1-A5
Mitigating missing data, multiples, and erroneous migration amplitudes are key factors that determine image quality. Curvelets, little “plane waves,” complete with oscillations in one direction and smoothness in the other directions, sparsify a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf42211cbc9059da305aec1c896c4b5
https://doi.org/10.1190/1.2799517
https://doi.org/10.1190/1.2799517
Autor:
Kenneth M. Schwartz, Gilles Hennenfent, Mary Hegmann, Meghan Hoffnagle, Dick Bain, Andrew McCallister
Publikováno v:
Unconventional Resources Technology Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f673332f1cc8f7dc022d59756160125
https://doi.org/10.2118/178613-ms
https://doi.org/10.2118/178613-ms