Publications

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

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  • Stochastic approaches to seismic reservoir characterization for

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  • A Novel Ensemble-Based Conjugate Gradient Method for Reservoir Management

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

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  • Practical Use of the Ensemble-Based Conjugate Gradient Method for Production Optimization in the Brugge Benchmark Study

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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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  • 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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  • An auxiliary adaptive Gaussian mixture filter applied to flowrate allocation

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  • Rate Allocation - Project Summery Phase III

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  • Rate Allocation - User Guide and Technical Description

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  • Rate Allocation - Wells C-1 and C-4

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  • An Auxiliary Adaptive Gaussian Mixture Filter Applied to Flowrate Allocation Using Real Data

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  • An Auxiliary Adaptive Gaussian Mixture Filter Applied to Flowrate Allocation Using Real Data

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  • An Auxiliary Adaptive Gaussian Mixture Filter Applied to Flowrate Allocation Using Real Data

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  • Rate Allocation – Wells D-1 and C-3

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  • Ensemble based data assimilation for a multi-compar tment porous media model

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  • Assimilation using MRI data

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  • Data assimilation using MRI data

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  • From oil to medicine

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  • Data assimilation for a multi-compartment porous media model

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  • Rate Allocation – New Functionalities and Additional Tests

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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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  • 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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  • Rate Allocation Applied to Well D-1

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  • Rate Allocation Project Summary

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

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  • Rate Allocation User Guide and Technical Description – Part 2

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

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  • Optimization of Well Trajectory Under Uncertainty for Proactive 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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  • Toward an enhanced Bayesian estimation framework for multiphase flow soft-sensing

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

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  • Rate Allocation User Guide and Technical Description – Part 1

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

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  • An iterative version of the adaptive Gaussian mixture

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  • Estimation of production rates using transient well flow modeling and the auxiliary particle filter

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  • Rate Allocation Applied to a Three-Phase Flow Producer

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  • Rate Allocation Project summary

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  • Rate Allocation – New Theoretical Development

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  • Iterative versions of the adaptive Gaussian mixture filter

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  • MS57 - Data Assimilation and Large-scale Geological Structures

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

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  • Estimating Facies Fields by Use of the Ensemble Kalman Filter and Distance Function - Applied to Shallow-Marine Environments

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  • Estimation of Production Rates Using Transient

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  • Optimization of Well Trajectory under Uncertainty

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  • Estimation of Production Rates Using Transient Well Flow Modeling and the Auxiliary Particle Filter

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  • Iterative versions of the adaptive Guassian mixture filter

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  • Transient well flow modeling and modern estimation techniques for accurate production allocation

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  • Transient well flow modeling and modern estimation techniques for accurate production allocation

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  • History Matching Channelized Reservoirs Using the

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  • An iterative ensemble Kalman filter

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  • Estimating facies fields using the ensemble Kalman filter and distance functions – applied to shallow-marine environments

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  • Soft Multiphase Flow Metering for Accurate Production Allocation

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  • Advanced software tools used in closed-loop reservoir management

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  • Wired Drill Pipe Telemetry Enables Real-Time Evaluation of Kick During

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  • Rate Allocation: Combining Transient Well Flow Modelling and Data Assimilation

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  • User manual IRIS-EnKF Matlab Code Appendix with ARTSim

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  • History Mathcing Channelized Reservoirs Using the Ensemble Kalman Filter

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  • History Mathcing Channelized Reservoirs Using the Ensemble Kalman Filter

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  • History matching Channelized Reservoirs Using the Ensemble Kalman Filter

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  • History Matching Channelized Reservoirs Using the Ensemble Kalman Filter

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  • Closed-loop reservoir management on the Brugge field

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  • EnKF used to update models for reservoir management and production optimization

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  • Closed-Loop Reservoir Management Using the Ensemble Kalman Filter and Sequential Quadratic Programming

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  • Closed Loop Reservoir Management Using the Ensemble Kalman Filter and Sequential Quadratic Programming

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  • Closed-Loop Reservoir Management Using the Brugge model

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  • Data assimilation of Large-Scale models Within the Petroleum Industry

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  • Data Assimilation of Large-Scale Models Within the Petroleum Industry

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  • Updating Reservoir Models Using Ensemble Kalman Filter - A Practical Approach to Probabilistic History Matching?

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  • Complex wells and closed-loop reservoir management

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  • Brugge Field. Data assimilation and production optimization

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  • Use of the ensemble Kalman filter for characterization of a real field reservoir model

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  • ROAW phase II: Continuous updating of reservoir simulation models and improved reservoir management - Final report

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  • User manual for the IRIS EnKF Matlab code

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  • ROAW phase II: Continuous updating of reservoir simulation models and improved reservoir management - Report VI

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  • State Estimation of a Large-Scale System in the Petroleum Industry: The Ensemble Kalman Filter for Updating Reservoir Models

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  • State estimation of a large-scale system in the petroleum industry: The ensemble Kalman filter for updating reservoir models

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  • Bottomhole Pressure Control During Drilling Operations in Gas-Dominant Wells

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  • ROAW phase II: Continuous updating of reservoir simulation models and improved reservoir management - Report IV

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  • ROAW phase II: Continuous updating of reservoir simulation models and improved reservoir management

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  • Reservoir Characterization during UBD: Methodology and Active Tests

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  • Improving EnKF for better performance on non-linear problems

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  • ROAW phase II: Continouous updating of reservoir simulation models and improved reservoir management. Report II

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  • A new approach for dynamic optimization of water flooding problems

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  • SPE 99690: A new approach for dynamic optimization of water flooding problems

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  • Use of Estimation Techniques to Improve Modeling of Fluid Flow in Pipelines, Wells and Reservoirs

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  • SPE 97028: Tuning of Computer Model Parameters in Managed Pressure Drilling Applications Using an Unscented Kalman Filter Technique

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  • SPE 96375: Analysis of the ensemble Kalman filter for estimation of permeability and porosity in reservoir models

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  • Analysis of the ensemble Kalman filter for

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  • ROAW phase II: Continuous updating of reservoir simulation models and improved reservoir management

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  • SPE/IADC 97372: Evaluation of drillstring and casing instrumentation needed for reservoir characterization during drilling operations

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  • Analysis of the ensemble Kalman filter for estimation of permeability and porosity in reservoir models

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  • Use of slopelimiter techniques in traditional numerical methods for multi-phase flow in pipelines and wells

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  • Description of the RF EnKF Matlab code

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  • Reservoir Management by means of Data Assimilation

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  • SPE 91578: Bottomhole Pressure Control During Pipe Connection in Gas-Dominant Wells

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  • SPE 90962: Underbalanced Drilling: Improving Pipe Connection Procedures Using Automatic Control

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  • Estimation techniques and applications

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  • Tuning of parameters in a two-phase flow model using an ensemble Kalman filter

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  • SPE 81634: Reservoir Characterization during UBD: Methodology and Active Tests

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  • SPE 77530: Reservoir Characterization during Underbalanced Drilling; Methodology, Accuracy, and Necessary Data

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  • Real Time Interpretation of Measured Data during Underbalanced Drilling Operations

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  • Higher Order Numerical Methods and Use of Estimation Techniques to Improve Modeling of Two-Phase Flow in Pipelines and Wells

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  • SPE 71384: Underbalanced and Low-head Drilling Operations: Real Time Data Interpretataion of Measured Data and Operational Support

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  • SPE 67693: Underbalanced Drilling: Real Time Data Interpretation and Decision Support

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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