Robust quantification of parametric uncertainty for surfactant-polymer flooding
type: Item
instance of: scholarly article
title: Robust quantification of parametric uncertainty for surfactant-polymer flooding
zbMATH Open document ID: 1393.86007
author: Y. Aharonov
published in: Computational Geosciences
publication date: 2018-08-22T00:00:00Z
Mathematics Subject Classification ID: 86A05
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 76S05
Mathematics Subject Classification ID: 86-08
zbMATH DE Number: 6921792
zbMATH Keywords: Monte Carlo simulation
zbMATH Keywords: polynomial chaos
zbMATH Keywords: probabilistic collocation method
zbMATH Keywords: enhanced oil recovery
describes a project that uses: ORTHPOL
MaRDI profile type: Publication
full work available at URL: s10596-013-9384-9
OpenAlex ID: W1988921875
cites work: High-Order Collocation Methods for Differential Equations with Random Inputs
cites work: The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
cites work: The multi-element probabilistic collocation method (ME-PCM): Error analysis and applications
cites work: Algorithm 726: ORTHPOL–a package of routines for generating orthogonal polynomials and Gauss-type quadrature rules
cites work: Q4232766
cites work: Calculation of Gauss Quadrature Rules
cites work: A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
cites work: Probabilistic collocation used in a Two-Step approached for efficient uncertainty quantification in computational fluid dynamics
cites work: Q3538690
DOI: 10.1007/S10596-013-9384-9
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description: scientific article; zbMATH DE number 6921792