LUO, XIAODONG

Position:	Senior Research Scientist
Email:	xluo@norceresearch.no
Phone:	(+47) 51 87 56 25
Research group:	Reservoir
Office:	Bergen

About Xiaodong

Articles (Tidsskriftartikler)

Estimating Observation Error Covariance Matrix of Seismic Data from a Perspective of Image denoising

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

Iterative Ensemble Smoother as an Approximate Solution to a Regularized Minimum-Average-Cost Problem: Theory and Applications

Estimation of production rates using transient well flow modeling and the auxiliary particle filter - full-scale applications

Iterative Ensemble Smoother as an Approximate Solution to a Regularized Minimum-Average-Cost Problem: Theory and Applications

Mitigating Observation Perturbation Sampling Errors in the Stochastic EnKF

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

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

A comparison of ensemble Kalman filters for storm surge assimilation

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

An Adjoint-Based Adaptive Ensemble Kalman Filter

Improving short range ensemble Kalman storm surge forecasting using robust adaptive inflation

Assessing a robust ensemble-based Kalman filter for efficient ecosystem data assimilation of the Cretan Sea

Ensemble Kalman filtering with residual nudging

Conferences (Konferanser)

Big data assimilation and uncertainty quantification in 4D seismic history matching

Correlation-Based Adaptive Localization For Ensemble-Based History Matching:

Efficient big seismic data assimilation through sparse

Correlation-Based Adaptive Localization With Applications to Ensemble-Based 4D-Seismic History Matching

Efficient big seismic data assimilation through sparse representation

Estimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method

Estimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method

Efficient big data assimilation through sparse representation

Use of correlation-based localization for history matching seismic data

Efficient big data assimilation through sparse representation

Data-driven adaptive localization with applications to

A general purpose localization method for ensemble based history matching applied to the full Norne field

Use of Correlation Based Localization for History Matching Seismic Data

Estimation of Pressure-Saturation and Porosity Fields from Seismic AVA Data Using an Ensemble

Data-driven adaptive localization with applications to seismic history matching

Data Driven Adaptive Localization With Applications To Ensemble-Based 4D Seismic History Matching

Efficient seismic history matching through sparse representation

Proactive geosteering workflow for enhanced oil recovery

Time lapse CSEM reservoir monitoring of the Norne field with vertical dipoles

Ensemble based 4D seismic history matching using a sparse representation of AVA data

Time lapse CSEM reservoir monitoring of the Norne field with vertical dipoles

Ensemble based 4D seismic history matching using a sparse representation of AVA data

An ensemble 4D seismic history matching framework with sparse representation: A 3D benchmark case study

An Ensemble 4D Seismic History Matching Framework with Wavelet Multiresolution Analysis - A 3D Benchmark Case Study

Estimating Observation Error Covariance Matrix of Seismic Data from a Perspective of Image Processing

Efficient bigdata assimilation through sparserepresentation: A case study in 4D seismic history matching

Estimating observation errorcovariance matrix ofseismic data from a perspective of image processing

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

Efficient big data assimilation through sparse representation: A case study in 4D seismic

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

An ensemble-based workflow for proactive geosteering

A Unified Framework for a Class of Ensemble Data Assimilation Algorithms in Reservoir History Matching

Ensemble based framework for proactive g eosteering

An ensemble-based framework for proactive geosteering

An ensemble-based framework for proactive geosteering

Ensemble-based framework for proactive geosteering

Optimization under uncertainty: A unified framework for a class of ensemble data assimilation algorithms

Optimization under uncertainty: A unified framework for a class of ensemble data assimilation algorithms

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

Some numerical investigations of an iterative ensemble smoother based on the regularized Levenberg-Marquardt algorithm

On an iterative ensemble smoother and its application to a reservoir facies estimation problem

On Bias Correction for Parameter Estimation Problems with Applications to Model Updating for Geosteering

Toward an Enhanced Bayesian Estimation Framework for Multiphase Flow Soft-sensing

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

On Bias Correction for Parameter Estimation Problems with Applications to Model Updating for Geosteering

On an Alternative Implementation of the Iterative Ensemble Smoother and its Application to Reservoir Facies Estimation

On an alternative implementation of the iterative ensemble smoother and its application to a reservoir facies estimation problem

On an alternative implementation of the iterative ensemble smoother and its application to a reservoir facies estimation problem

Ensemble Kalman filtering with residual nudging: some recent progress

On an iterative ensemble smoother and its application to a reservoir facies estimation problem

A Robust Ensemble-Based Kalman Filter for Data Assimilation into a 3D Ecosystem Model of the Cretan Sea (Eastern Mediterranean)

Ensemble Bayesian filtering with Residual Nudging

Toward An Expectation-Maximization Method for Parameter Estimation and Its Application to Rate Estimation in Oil Wells

Ensemble Kalman filtering with residual nudging: some recent results

Estimation of Flowrates Using Transient Well Flow Modeling and the Auxiliary Particle Filter – Full-Scale Applications

Reports (Rapporter)

User manual. IRIS Filter Toolbox

Ensemble Kalman Filtering with Residual Nudging: An Extension to State

Ensemble Kalman filtering with a divided state-space strategy for

On an Alternative Implementation of the Iterative Ensemble Smoother and its Application to

Rate Allocation Project summary

Rate Allocation – New Theoretical Development

Covariance Inflation in the Ensemble Kalman Filter: A Residual Nudging Perspective and Some Implications

International Research Institute of Stavanger

Mailing address:
Visiting address:

P.O. Box 8046, N-4068 Stavanger, Norway
Prof. Olav Hanssensvei 15, 4021 Stavanger

Phone:
Fax:

+47 51 87 50 00
+47 51 87 52 00

General email address: firmapost@iris.no

International Research Institute of Stavanger

Mailing address:
Visiting address:

P.O. Box 8046, N-4068 Stavanger, Norway
Prof. Olav Hanssensvei 15, 4021 Stavanger

Phone:
Fax:

+47 51 87 50 00
+47 51 87 52 00

General email address: firmapost@iris.no