Cross-covariances and localization for EnKF in multiphase flow data assimilation
type: Item
instance of: scholarly article
title: Cross-covariances and localization for EnKF in multiphase flow data assimilation
zbMATH Open document ID: 1381.86026
author: Yan Chen
author: Dean S. Oliver
published in: Computational Geosciences
publication date: 2010-11-03T00:00:00Z
Mathematics Subject Classification ID: 86A32
zbMATH DE Number: 5810061
zbMATH Keywords: ensemble Kalman filter
zbMATH Keywords: localization
zbMATH Keywords: cross-covariance
describes a project that uses: EnKF
MaRDI profile type: Publication
full work available at URL: s10596-009-9174-6
OpenAlex ID: W2023669272
cites work: Application of the EnKF and localization to automatic history matching of facies distribution and production data
cites work: Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter
cites work: Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter vari\-ants
DOI: 10.1007/S10596-009-9174-6
Recommended article: Data Assimilation for the Navier--Stokes Equations Using Local Observables
Recommended article: Covariance kernels investigation from diffusive wave equations for data assimilation in hydrology
Recommended article: A Multiscale Data Assimilation with the Ensemble Kalman Filter
Recommended article: Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections
Recommended article: Continuous data assimilation for two-phase flow: analysis and simulations
Recommended article: Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments
Recommended article: A multiscale method for data assimilation
Recommended article: Transformed and generalized localization for ensemble methods in data assimilation
Recommended article: Coarse-scale data assimilation as a generic alternative to localization
Recommended article: Multiscale Methods for Data Assimilation in Turbulent Systems
description: scientific article; zbMATH DE number 5810061