Salvador Pintos
Salvador Pintos
Emeritus Professor, Applied Computing Institute, University of Zulia, Venezuela
Verified email at - Homepage
Cited by
Cited by
A reliable index for the prognostic significance of blood pressure variability
L Mena, S Pintos, NV Queipo, JA Aizpurua, G Maestre, T Sulbaran
Journal of hypertension 23 (3), 505-511, 2005
An optimization methodology of alkaline–surfactant–polymer flooding processes using field scale numerical simulation and multiple surrogates
LE Zerpa, NV Queipo, S Pintos, JL Salager
Journal of Petroleum Science and Engineering 47 (3-4), 197-208, 2005
Surrogate modeling-based optimization of SAGD processes
NV Queipo, JV Goicochea, S Pintos
Journal of Petroleum Science and Engineering 35 (1-2), 83-93, 2002
Global sensitivity analysis of Alkali–Surfactant–Polymer enhanced oil recovery processes
E Carrero, NV Queipo, S Pintos, LE Zerpa
Journal of Petroleum Science and Engineering 58 (1-2), 30-42, 2007
Toward an optimal ensemble of kernel-based approximations with engineering applications
E Sanchez, S Pintos, NV Queipo
Structural and multidisciplinary optimization 36 (3), 247-261, 2008
Artificial neural network modeling of atmospheric corrosion in the MICAT project
S Pintos, NV Queipo, OT de Rincón, A Rincón, M Morcillo
Corrosion science 42 (1), 35-52, 2000
Surrogate modeling-based optimization for the integration of static and dynamic data into a reservoir description
NV Queipo, S Pintos, N Rincón, N Contreras, J Colmenares
Journal of Petroleum Science and Engineering 35 (3-4), 167-181, 2002
Efficient global optimization for hydraulic fracturing treatment design
NV Queipo, AJ Verde, J Canelón, S Pintos
Journal of Petroleum Science and Engineering 35 (3-4), 151-166, 2002
Assessing the value of another cycle in Gaussian process surrogate-based optimization
Verde, A., Pintos, S., Queipo, N., Haftka, R.
Structural and Multidisciplinary Optimization 39 (5), 459-475, 2009
An efficient response surface approach for the optimization of ASP flooding processes: ASP pilot project LL-03 reservoir
LE Zerpa, NV Queipo, S Pintos, E Tillero, D Alter
Latin American & Caribbean Petroleum Engineering Conference, 2007
Setting targets for surrogate-based optimization
NV Queipo, S Pintos, E Nava
Journal of Global Optimization 55 (4), 857-875, 2013
The integration of design of experiments, surrogate modeling and optimization for thermoscience research
NV Queipo, CJ Arévalo, S Pintos
Engineering with Computers 20 (4), 309-315, 2005
A model for the integrated optimization of oil production systems
NV Queipo, LE Zerpa, JV Goicochea, AJ Verde, SA Pintos, A Zambrano
Engineering with Computers 19 (2-3), 130-141, 2003
Assessing the value of another cycle in surrogate-based optimization
N Queipo, A Verde, S Pintos, R Haftka
11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 7089, 2006
On differentiable exact penalty functions
C Vinante, S Pintos
Journal of optimization theory and applications 50 (3), 479-493, 1986
Asymptotic Dykstra–Parsons Distribution, Estimates and Confidence Intervals
S Pintos, C Bohorquez, NV Queipo
Mathematical Geosciences 43 (3), 329-343, 2011
A geostatistical perspective for the surrogate-based integration of variable fidelity models
E Nava, S Pintos, NV Queipo
Journal of Petroleum Science and Engineering 71 (1-2), 56-66, 2010
Predicción geoestadística: kriging simple, ordinario y con tendencia
S Pintos
Venezuela: Editorial Universidad de Zulia, Cap1 al 3, 2012
Breves de álgebra lineal
S Pintos, G Urdaneta
Recuperado de http://www. scribd. com/doc/17225553/Algebra-Lineal-Breve, 2009
SPE 63065 Surrogate Modeling–Based Optimization for the Integration of Static and Dynamic Data Into a Reservoir Description
NV Queipo, S Pintos, N Rincón, N Contreras, J Colmenares
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