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20032018
most citedIterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applications

121 citations

14 papers

cs.CE2018

Python Framework for HP Adaptive Discontinuous Galerkin Method for Two Phase Flow in Porous Media

Andreas Dedner, Birane Kane, Robert Klöfkorn +1

In this paper we present a framework for solving two phase flow problems in porous media. The discretization is based on a Discontinuous Galerkin method and includes local grid ada…

math.OC2017★ 82 cited

Delay-robust control design for two heterodirectional linear coupled hyperbolic PDEs

Jean Auriol, Jakob Ulf, Philippe Martin +1

We detail in this article the necessity of a change of paradigm for the delay-robust control of systems composed of two linear first order hyperbolic equations. One must go back to…

physics.data-an2016★ 73 cited

Efficient big data assimilation through sparse representation: A 3D benchmark case study in seismic history matching

Xiaodong Luo, Tuhin Bhakta, Morten Jakobsen +1

In a previous work \citep{luo2016sparse2d_spej}, the authors proposed an ensemble-based 4D seismic history matching (SHM) framework, which has some relatively new ingredients, in t…

physics.data-an2016★ 73 cited

An Ensemble 4D Seismic History Matching Framework with Sparse Representation Based on Wavelet Multiresolution Analysis

Xiaodong Luo, Tuhin Bhakta, Morten Jakobsen +1

In this work we propose an ensemble 4D seismic history matching framework for reservoir characterization. Compared to similar existing frameworks in reservoir engineering community…

physics.data-an2015★ 121 cited

Iterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applications

Xiaodong Luo, Andreas S. Stordal, Rolf J. Lorentzen +1

The focus of this work is on an alternative implementation of the iterative ensemble smoother (iES). We show that iteration formulae similar to those used in \cite{chen2013-levenbe…

physics.ao-ph2014★ 17 cited

Ensemble Kalman filtering with a divided state-space strategy for coupled data assimilation problems

Xiaodong Luo, Ibrahim Hoteit

This study considers the data assimilation problem in coupled systems, which consists of two components (sub-systems) interacting with each other through certain coupling terms. A…

physics.ao-ph2014★ 15 cited

Ensemble Kalman filtering with residual nudging: an extension to state estimation problems with nonlinear observation operators

Xiaodong Luo, Ibrahim Hoteit

The ensemble Kalman filter (EnKF) is an efficient algorithm for many data assimilation problems. In certain circumstances, however, divergence of the EnKF might be spotted. In prev…

stat.ME2014★ 8 cited

Toward an enhanced Bayesian estimation framework for multiphase flow soft-sensing

Xiaodong Luo, Rolf J. Lorentzen, Andreas S. Stordal +1

In this work the authors study the multiphase flow soft-sensing problem based on a previously established framework. There are three functional modules in this framework, namely, a…

physics.ao-ph2013★ 25 cited

Covariance inflation in the ensemble Kalman filter: a residual nudging perspective and some implications

Xiaodong Luo, Ibrahim Hoteit

This note examines the influence of covariance inflation on the distance between the measured observation and the simulated (or predicted) observation with respect to the state est…

physics.ao-ph2013★ 9 cited

Efficient particle filtering through residual nudging

Xiaodong Luo, Ibrahim Hoteit

We introduce an auxiliary technique, called residual nudging, to the particle filter to enhance its performance in cases that it performs poorly. The main idea of residual nudging…

physics.ao-ph2012★ 17 cited

Ensemble Kalman filtering with residual nudging

Xiaodong Luo, Ibrahim Hoteit

Covariance inflation and localization are two important techniques that are used to improve the performance of the ensemble Kalman filter (EnKF) by (in effect) adjusting the sample…

physics.flu-dyn2012★ 21 cited

Family-Vicsek scaling of detachment fronts in Granular Rayleigh Taylor Instabilities during sedimenting granular/fluid flows

Jan Ludvig Vinningland, Renaud Toussaint, Michael Niebling +2

When submillimetric particles are confined in a fluid such that a compact cluster of particles lie above the clear fluid, particles will detach from the lower boundary of the clust…

hep-ph2004

Non-factorizable contributions to

J. O. Eeg, S. Fajfer, A. Hiorth +1

It is pointed out that decays of the type have no factorizable contributions, unless at least one of the charmed mesons in the final state is a vector meson. The…

math.AP2003

An error estimate for viscous approximate solutions of degenerate parabolic equations

Steinar Evje, Kenneth H. Karlsen

Relying on recent advances in the theory of entropy solutions for nonlinear (strongly) degenerate parabolic equations, we present a direct proof of an L^1 error estimate for viscou…