Publications

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

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  • Efficient big seismic data assimilation through sparse representation

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

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

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  • Use of correlation-based localization for history matching seismic data

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  • Efficient big data assimilation through sparse representation

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  • Efficient big data assimilation through sparse representation

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  • Data-driven adaptive localization with applications to

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

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  • Use of Correlation Based Localization for History Matching Seismic Data

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

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

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  • Data-driven adaptive localization with applications to seismic history matching

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  • Efficient seismic history matching through sparse representation

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  • Proactive geosteering workflow for enhanced oil recovery

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  • User manual. IRIS Filter Toolbox

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  • An ensemble-based workflow for proactive geosteering

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

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

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

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  • Mitigating Observation Perturbation Sampling Errors in the Stochastic EnKF

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  • An ensemble-based framework for proactive geosteering

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  • An ensemble-based framework for proactive geosteering

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  • Ensemble based framework for proactive g eosteering

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  • Ensemble-based framework for proactive geosteering

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

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

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

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

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

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

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  • Ensemble Kalman Filtering with Residual Nudging: An Extension to State

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  • Ensemble Kalman filtering with a divided state-space strategy for

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

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

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

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

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

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

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

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  • A comparison of ensemble Kalman filters for storm surge assimilation

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

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

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  • Ensemble Kalman filtering with residual nudging: some recent progress

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

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  • Rate Allocation – New Theoretical Development

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  • Rate Allocation Project summary

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

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

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  • Ensemble Bayesian filtering with Residual Nudging

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

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  • An Adjoint-Based Adaptive Ensemble Kalman Filter

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

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

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  • Ensemble Kalman filtering with residual nudging: some recent results

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

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

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  • Ensemble Kalman filtering with residual nudging

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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
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:
General email:
+47 51 87 50 00
+47 51 87 52 00
firmapost@iris.no