Comparison of optimization techniques for automatic history matching

Reservoir parameters are estimated by adjusting simulation models to match field or laboratory data. Multivariate optimization techniques with physically realistic constraints on the parameters are used in order to obtain these estimates. Two examples are presented. The first example is the analysis...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Savioli, G.B., Susana Bidner, M.
Formato: JOUR
Materias:
Permeability
Porosity
Reservoirs-Oil
Algorithms
Approximation theory
Capillary flow
Computational methods
Constraint theory
Mathematical models
Mechanical permeability
Optimization
Parameter estimation
Automatic algorithms
Automatic history matching
Coreflood experiment
Davidon Fletcher Powell (DFP)
Drawdown test
Fletcher Reeves (FR)
Levenberg Marquardt (LM)
Minimization
Multivariate optimization
Quasi Newton approximation for the least squares problem (QNA)
Petroleum reservoir evaluation
drawdown test
history matching
multivariate statistics
optimization
reservoir parameters
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_09204105_v12_n1_p25_Savioli
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

Ejemplares similares

Ejemplares similares