activity
20032022
most citedIterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applications

121 citations · 744 across the 24 of their papers we have counts for

collaborators

24 papers

stat.CO2022

Continuous Hyper-parameter OPtimization (CHOP) in an ensemble Kalman filter

Xiaodong Luo, Chuan-An Xia

Practical data assimilation algorithms often contain hyper-parameters, which may arise due to, for instance, the use of certain auxiliary techniques like covariance inflation and l…

cs.CE2019★ 41 cited

A Decision Support System for Multi-target Geosteering

Sergey Alyaev, Erich Suter, Reidar Bratvold +2

Geosteering is a sequential decision process under uncertainty. The goal of geosteering is to maximize the expected value of the well, which should be defined by an objective value…

math.OC2019★ 33 cited

Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

Xiaodong Luo

Simulator imperfection, often known as model error, is ubiquitous in practical data assimilation problems. Despite the enormous efforts dedicated to addressing this problem, proper…

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…