Zobrazeno 1 - 10
of 442
pro vyhledávání: '"Da Veiga, S."'
Autor:
Benabdallah R; Digestive Diseases, Hospital Universitario Príncipe de Asturias, Spain., Hernández-Pérez M; Digestive Diseases, Hospital Universitario Príncipe de Asturias, Spain., Pena-Burgos EM; Pathology , Hospital Universitario Príncipe de Asturias, Spain., Trueba Collado C; Digestive Diseases, Hospital Universitario Príncipe de Asturias, Spain., Tabernero da Veiga S; Digestive Diseases, Hospital Universitario Príncipe de Asturias, Spain.
Publikováno v:
Revista espanola de enfermedades digestivas [Rev Esp Enferm Dig] 2024 May 20. Date of Electronic Publication: 2024 May 20.
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
Publikováno v:
In Computers and Geosciences February 2013 51:64-73
Publikováno v:
Oil & Gas Science and Technology, Vol 67, Iss 5, Pp 823-839 (2012)
In this paper, we focus on the joint integration of production and 4-D inverted seismic data into reservoir models. These data correspond to different types and different scales. Therefore, we developed two-scale simulation workflows making it possib
Externí odkaz:
https://doaj.org/article/49c8ee666e69493ba7af97d9637038ff
Publikováno v:
Oil & Gas Science and Technology, Vol 67, Iss 2, Pp 207-220 (2012)
Reservoir models are used for predicting future oil recovery or for evaluating alternative field management scenarios. They can be considered as reliable when they account for all available data collected on the field: data are split into static data
Externí odkaz:
https://doaj.org/article/ef1105cd7a2841f8b66883673037ed08
Publikováno v:
Oil & Gas Science and Technology, Vol 67, Iss 2, Pp 289-301 (2012)
The joint use of production data and time-lapse seismic attributes can help to understand fluid flows within geological formations and to build reliable numerical models for representing these formations. This concern recently motivated the developme
Externí odkaz:
https://doaj.org/article/9dccf600e2da4f8283eb1db8c3863da7
Variable importance measures are the main tools to analyze the black-box mechanisms of random forests. Although the mean decrease accuracy (MDA) is widely accepted as the most efficient variable importance measure for random forests, little is known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87467b0fa73876a50a5cc27908158f61
https://hal.archives-ouvertes.fr/hal-03151611v2/file/sobolMDA.pdf
https://hal.archives-ouvertes.fr/hal-03151611v2/file/sobolMDA.pdf
Autor:
da Veiga, S��bastien
Global sensitivity analysis is the main quantitative technique for identifying the most influential input variables in a numerical simulation model. In particular when the inputs are independent, Sobol' sensitivity indices attribute a portion of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::354726bc4a4a6e22372e82d1b8de784f
https://hal.archives-ouvertes.fr/hal-03108628/document
https://hal.archives-ouvertes.fr/hal-03108628/document
Autor:
Collado, C. Trueba, Rodríguez, A. Santos, Costero Pastor, A. B., Vélez-Velázquez, M. D., Benabdallah, R., Oterino, I. Bartolomé, Evangelista, S. Redondo, Kheiri, S., Morales, M. Sierra, Da Veiga, S. Tabernero
Publikováno v:
Endoscopy; 2024 Supplement 2, Vol. 56, pS299-S300, 2p
Autor:
Sierra Morales, M., Rodríguez, A. Santos, Centeno, P. García, Cives, M. Villafruela, Evangelista, S. Redondo, Oterino, I. Bartolomé, Da Veiga, S. Tabernero
Publikováno v:
Endoscopy; 2024 Supplement 2, Vol. 56, pS207-S208, 2p