Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Théophile Gentilhomme"'
Autor:
Rémi Moyen, Théophile Gentilhomme
Publikováno v:
Mathematical Geosciences. 53:349-373
This article introduces a new optimisation algorithm designed for sampling the solution space of non-linear, non-convex quadratic problems. This method has been specifically designed for inversion problems where multiple distinct scenarios must be ex
Publikováno v:
81st EAGE Conference and Exhibition 2019.
Autor:
Marcos Sebastião dos Santos, Alexandre de Lima, David Riffault, Fabien Allo, Théophile Gentilhomme, Alexandre A. Emerick, Alessandra Silva Anyzewski
Publikováno v:
Day 3 Thu, October 26, 2017.
The paper presents the application of multi-scale Levenberg-Marquardt ensemblerandomized maximum likelihood(MS-LM-EnRML) method to an offshore field in Campos Basis. The objective of this method is to update an ensemble of spatial properties and flow
Autor:
Alexandre de Lima, Alexandre A. Emerick, David Riffault, Alessandra Silva Anyzewski, Théophile Gentilhomme, Marcos Sebastião dos Santos
Publikováno v:
15th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 31 July-3 August 2017.
Autor:
Théophile Gentilhomme, Guillaume Caumon, François Fournier, Christophe Antoine, Sophie Viseur, Jean Borgomano, Florent Lallier
Publikováno v:
The Geological Society, London, Special Publications
The Geological Society, London, Special Publications, 2012, 370 (1), pp.265-275. ⟨10.1144/sp370.12⟩
The Geological Society, London, Special Publications, 2012, 370 (1), pp.265-275. ⟨10.1144/sp370.12⟩
International audience; The stochastic stratigraphic well correlation method considers the stratigraphic correlation of well data as a set of possible models to sample and manage uncertainty in subsurface studies. This method addresses the incomplete
Autor:
P.M. Doyen, Guillaume Caumon, Trond Mannseth, Théophile Gentilhomme, Rémi Moyen, Dean S. Oliver
Publikováno v:
Computational Geosciences
Computational Geosciences, Springer Verlag, 2015, 19 (5), pp.999-1025. ⟨10.1007/s10596-015-9517-4⟩
Computational Geosciences, Springer Verlag, 2015, 19 (5), pp.999-1025. ⟨10.1007/s10596-015-9517-4⟩
International audience; Ensemble-based optimization methods are often efficiently applied to history-matching problems. Although satisfactory matches can be obtained, the updated realizations, affected by spurious correlations, generally fail to pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c355da60938a8bee61705316592a207
https://hal.univ-lorraine.fr/hal-01302457
https://hal.univ-lorraine.fr/hal-01302457
Autor:
Théophile Gentilhomme, Dean Oliver, Trond Mannseth, Rémi Moyen, Philippe Doyen, Guillaume Caumon
Publikováno v:
13th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 26–29 August 2013.
We present a new history matching approach designed for highly detailed seismic derived prior models. An ensemble-based optimization method is used to integrate production data and quantify associated uncertainties. An adaptive multi-scale wavelet pa
Publikováno v:
Scopus-Elsevier
In this paper, we use the second-generation wavelet transform as multi-scale smooth parameterization technique for history matching of seismic derived models using an ensemble based optimization method (batch-enRML). The construction of the second ge