Výsledky vyhledávání - "Feraille, M."

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Strained Si, Ge and SiGe alloys modeling with full-zone k.p method optimized from first principle calculation

Autor: Rideau, D., Feraille, M., Ciampolini, L., Minondo, M., Tavernier, C., Jaouen, H., Ghetti, A.

The electronic energy band structure of strained and unstrained Si, Ge and SiGe alloys is examined in this work using thirty-level k.p analysis. The energy bands are at first obtained with ab initio calculations based on the Local-Density-Approximati

Externí odkaz: http://arxiv.org/abs/cond-mat/0607510

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Akademický článek

Sensitivity Analysis and Optimization of Surfactant-Polymer Flooding under Uncertainties

Autor: Douarche F., Da Veiga S., Feraille M., Enchéry G., Touzani S., Barsalou R.

Publikováno v: Oil & Gas Science and Technology, Vol 69, Iss 4, Pp 603-617 (2014)

Chemical flooding is currently one of the most promising solution to increase the recovery of mature reservoirs. In Surfactant-Polymer (SP) processes, several parameters should be taken into account to estimate the return on investments: concentratio

Externí odkaz: https://doaj.org/article/e8c1fd701f79435e8d7c712074dd66e9

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Akademický článek

An Optimization Strategy Based on the Maximization of Matching-Targets’ Probability for Unevaluated Results Optimisation par maximisation de la probabilité d’atteindre les cibles pour des résultats non évalués

Autor: Feraille M.

Publikováno v: Oil & Gas Science and Technology, Vol 68, Iss 3, Pp 545-556 (2013)

The Maximization of Matching-Targets’ Probability for Unevaluated Results (MMTPUR), technique presented in this paper, is based on the classical probabilistic optimization framework. The numerical function values that have not been evaluated are co

Externí odkaz: https://doaj.org/article/f4230e7fee5d4a53ad29e70caeea1034

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Akademický článek

Prediction under Uncertainty on a Mature Field Prévision de production sous incertitude pour un champ mature

Autor: Feraille M., Marrel A.

Publikováno v: Oil & Gas Science and Technology, Vol 67, Iss 2, Pp 193-206 (2012)

Reservoir engineering studies involve a large number of parameters with great uncertainties. To ensure correct future production, a comparison of possible scenarios in managing related uncertainties is needed. Comparisons can be performed with more i

Externí odkaz: https://doaj.org/article/26cb9429270849a6821057de4ae3d664

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