NÆVDAL, GEIR

Position:	Chief Scientist
Email:	gena@norceresearch.no
Phone:	(+47) 51 87 56 30
Research group:	Reservoir
Office:	Bergen

About Geir

Geir Nævdal holds a Dr. Ing. (PhD) degree from NTNU (1991) and a MSc degree from University of Bergen (1987), both in mathematics. From 1991-1997 he worked at Stord/Haugesund College as a "Førsteamanuensis"(associate professor). He joined IRIS in 1997 and was promoted to "Chief scientist" in 2004. From 2009-2012 he also had a position as adjunct professor at Department of Mathematics, University of Bergen. His research interests include data assimilation, parameter estimation, inverse problems and optimization which he applies within petroleum science, and more recently also within medicine. He has served as a project manager for a number of large projects funded by the Norwegian Research Council and petroleum companies.

Articles (Tidsskriftartikler)

A modified randomized maximum likelihood for improved Bayesian history matching

Robust production optimization with capacitance-resistance model as precursor

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

Bayesian estimation of reservoir properties - effects of uncertainty quantification of 4D seismic data

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

Production Optimization Using Derivative Free Methods Applied to Brugge Field Case

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

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

Evaluation of EnKF and Variants on the PUNQ-S3 Case

Filtering with state space localized Kalman gain

Efficient Workflow for Optimizing Well Controls

Comparing the adaptive Gaussian mixture filter with the ensemble Kalman filter on synthetic reservoir models

Error estimate for the ensemble Kalman filter analysis step

History Matching Channelized Reservoirs Using the

An iterative ensemble Kalman filter

Sampling error distribution for the ensemble Kalman filter update step.

Ensemble Kalman filter for model updating – A special issue

Updating Markov chain models using the ensemble Kalman filter

Bridging the ensemble Kalman filter and particle filters: The adaptive Gaussian mixture filter

The ensemble Kalman filter in reservoir engineering - A review

History Matching Using the Ensemble Kalman Filter on a North Sea Field Case

Updating reservoir simulation models using ensemble Kalman filter (in Russian)

Bottomhole Pressure Control During Drilling Operations in Gas-Dominant Wells

Reservoir Characterization during UBD: Methodology and Active Tests

Non-linear model predictive control scheme

Waterflooding using closed-loop control

Waterflooding using closed-loop control

Reservoir Monitoring and Continuous Model Updating Using Ensemble Kalman Filter

Closed-loop reservoir management

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

Adaptive multiscale permeability estimation

Simultaneous determination of absolute and relative permeabilities

SPE 59301 A New Methodology for the Optimization of the Placement of Downhole Production-Monitoring Sensors

Multiscale estimation with spline wavelets, with application to two-phase porous-media flow

Positive Definite Toeplitz Completions

A nettwork approach to Commuting

Cone inclusion numbers

Conferences (Konferanser)

History Matching Of Real Production And Seismic Data In The Norne Field

History Matching of Real Production and Seismic Data in the Norne Field

OLYMPUS Optimization Under Geological Uncertainty

History Matching of Real Production and Seismic Data in the Norne Field

Data assimilation for a multi-compartment model for blood flow in the brain

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

Time-lapse full waveform inversion as a smart tool for future IOR

Stochastic approaches to seismic reservoir characterization for

4d seismic and history matching - activities at the IOR center

Efficient big seismic data assimilation through sparse

The past and the future

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

Efficient big seismic data assimilation through sparse representation

Value of 4D seismic history matching

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

4D seismic and history matching - activities at the IOR center

Efficient big data assimilation through sparse representation

Data-driven adaptive localization with applications to

Baysian inversion of time-lapse seismic waveform data using an integral equation

Bayesian Inversion of Time-lapse Seismic Waveform Data Using an Integral Equation Method

Integration of IOR Research Projects through Generic Case Studies

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

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

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

New methodology for inter pretation of dynamic contrast imaging data

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

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

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

4d seismic and history matching - activities at the IOR center

Production optimization

Robust Production Optimization with Capacitance-Resistance Model as Precursor

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

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

Robust Production Optimization with Capacitance-Resistance Model as Precursor

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

Realistic Application of EnKF on Capacitance-Resistance Models

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

Assimilation using MRI data

Data assimilation using MRI data

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

Using a Capacitance-Resistance Model as Proxy for Fast Robust Production Optimization

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

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

Robust Production Optimization with Capacitance-Resistance Model as Proxy

From oil to medicine

Data assimilation for a multi-compartment porous media model

What is going on at IRIS offices in the 8th floor?

Data assimilation in medicine?

Generalized Randomized Maximum Likelihood

Ensemble based reservoir characterization using seismic and production data

(Towards a) Generalized Randomized Maximum Likelihood

Reser voir character ization using ensemble based

Ensemble based 4-d seismic histor y matching

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

Introduction to the methodology used in the field study

Ensemble based methods for estimation and optimization

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

On an 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 Reservoir Facies Estimation

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

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

Data Assimilation with Gaussian Mixtures

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

The National IOR Centre of Norway

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

MS57 - Data Assimilation and Large-scale Geological Structures

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

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

Estimation of Production Rates Using Transient

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

Application of the Adaptive Gaussian Mixture Filter to History Match a Real Field Case

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

Refined Adaptive Gaussian Mixture Filter - Application on a Real Field Case (SPE 154479)

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

History Matching a Real Field Case Using the Newest Filter Methods Available

Data assimilation in petroleum engineering

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

Improvement of Oil and Gas Recovery by Optimal Well Placement

P05 Improvement of Oil and Gas Recovery by Optimal Well Placement

Selection of Decision Variables for Large-Scale Production Optimization Problems Applied to Brugge Field

Soft Multiphase Flow Metering for Accurate Production Allocation

Rate Allocation: Combining Transient Well Flow Modelling and Data Assimilation

Error estimate for the ensemble Kalman filter update step

Comparing the EnKF and the adaptive Gaussian mixture filter

Comparing the Adaptive Gaussian Mixture filter with the EnKF

Error distribution of the EnKF update

Revisiting Brugge case study using a hierarchical ensemble Kalman filter

Characterization of fractured reservoir by quantitative integration of time-lapse seismic AVAZ and production data using the EnKF method

Error estimate for the ensemble Kalman filter analysis step

Revisiting Brugge case study using a hierarchical ensemble Kalman filter

Revisiting Brugge case study using a Hierarchical Ensemble Kalman Filter

Benchmark Study of Ensemble Kalman Filter Methodology: History Matching and Uncertainty Quantification for a Deep-Water Oil Reservoir

History Mathcing Channelized Reservoirs Using the Ensemble Kalman Filter

A Workflow for Efficient Initialization of Local-Search Iterative Methods for Waterflooding Optimization

History Mathcing Channelized Reservoirs Using the Ensemble Kalman Filter

A Workflow for Efficient Initialization of Local-Search Iterative Methods for Waterflooding Optimization (Brugge Field)

Integrating Tracer Data in Simple Geological/Reservoir Models Using

Error estimates for a single EnKF analysis step

Revisiting the Brugge benchmark test problem using a hierarchical ensemble Kalman filter

Bridging the EnKF and particle filters

Waterflooding Optimization using Gradient Based Methods

Waterflooding Optimization using Gradient Based Methods

Production Optimization Using Derivative Free Methods Applied to Brugge Field

Closed-loop benchmark test

Production optimization. Experience on optimizers

Updating Markov Chain Models Using the Ensemble Kalman Filter

History Matching Channelized Reservoirs Using the Ensemble Kalman Filter

Natural and Conventional Tracers for Improving Reservoir Models Using the EnKF Approach

Oppdatering av reservoar modeller med ensemble Kalman filter

Natural and Conventional Tracers for Improving Reservoir Models Using the EnKF Approach

Natural and Conventional Tracers for Improving Reservoir Models Using the EnKF Approach

Production Optimization of Thin-Oil Rims: Evaluation of a Stochastic Steepest-Ascent Approach

Waterflooding optimization - Further Investigation of Gradient Based Methods (Brugge Case)

Closed-loop reservoir management on the Brugge field

Natural and Conventional Tracers for Improving Reservoir Models Using the EnKF Approach

Waterflooding Optimization - Further Investigations of Gradient Based Methods (Brugge cas)

EnKF used to update models for reservoir management and production optimization

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

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

Data Assimilation of Large-Scale Models Within the Petroleum Industry

Data assimilation of Large-Scale models Within the Petroleum Industry

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

Tracer data included in fast model updating with the ensemble Kalman filter

Complex wells and closed-loop reservoir management

Comparing different ensemble Kalman filter approaches

Quantifying Monte Carlo Uncertainty in the Ensemble Kalman Filter

Ensemble Kalman Filter to Petroleum Engineering

Comparing different ensemble Kalman filter approaches

Including tracer data in rapid model updating

Application and benchmark of EnKF methodology to a real field case

Improved sampling

A novel tracer simulator, tracer data and the EnKF method coupled to determine reservoir permeability and fault transmissibility – with examples

The Effect of Including Tracer Data in the EnKF Approach

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

Updating reservoir models for improved reservoir management using the ensemble Kalman filter

Running field studies with EnKF

The effect of including tracer data in the EnKF approach

History Matching and Production Forecast Uncertainty by Means of the Ensemble Kalman Filter: a Real Field Application

SPE 107172: Validation of History Matching Results Achieved by Multiscale Methods

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

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

Breaking new ground in reservoir management

History matching & production forecast uncertainty by means of the ensemble Kalman filter: A real field application

History Matching using the EnKF on a North Sea Field Case

Use of Ensemble Kalman Filter for history matching

Evaluating Nonlinear Kalman Filters for Parameter Estimation in Reservoirs During Petroleum Well Drilling

SPE 102430: History Matching Using the Ensemble Kalman Filter on a North Sea Field Case

Ensemble Kalman Filter for Field Estimation –

Improving EnKF for better performance on non-linear problems

A Successful Study using EnKF for History Matching a North Sea Case, where Real Production Data have been Assimilated

A new approach for dynamic optimization of water flooding problems

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

Closed loop waterflooding

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

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

Modelling Two-Phase Flow for Control Design in Oil Well Drilling

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

Ensemble Kalman Filter as a Technique for Updating of Reservoir Models

Closed-loop waterflooding

Comparison of Automatic Control Methodologies for Maintaining Required Annulus Pressure Gradient

Reservoir Management by means of Data Assimilation

Continuous Updating of Reservoir Simlation Models and Improved Reservoir Management

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

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

SPE 90149: Improved Reservoir Management Through Optimal Control and Continuous Model Updating

Ensemble Kalman filter for continuous updating of reservoir models

Closed-Loop Waterflooding

Closed-Loop Waterflooding

Waterflooding using closed-loop control

Closed-loop reservoir management

Reservoir Monitoring and Continuous Model Updating using Ensemble Kalman FIlter

SPE 84372: Reservoir Monitoring and Continuous Model Updating Using Ensemble Kalman Filter

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

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

Instrumented Wells and Near-Well Reservoir Monitoring through Ensemble Kalman Filter

Instrumented Wells and Near-Well Reservoir Monitoring through Ensemble Kalman Filter

Adaptive Selection of Parameterization for Reservoir History Matching

Adaptive Multiscale Permeability Estimation

SPE 75260: Downhole monitoring systems for estimating inflow profiles

SPE 75235: Near-Well Reservoir Monitoring Through Ensemble Kalman Filter

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

Simultaneous Determination of Absolute and Relative Permeabilities

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

SPE 66394: Scale Splitting Approach to Reservoir Characterization

SPE 66394 Scale Splitting Approach to Reservoir Characterization

Reservoir characterization through scale splitting

Optimal management of advanced wells through fast updates of near-well reservoir model

SPE 59301 A New Methodology for Designing Instrumentation of Production Wells for Inflow Profile Estimation

Experimental Design: Importance in Petroleum Engineering

Nonlinearity, scale, and sensitivity for parameter estimation problems: Some implications for estimation algorithms

Reports (Rapporter)

New methodology for interpreation of dynamic contrast imaging data

Ensemble Methods for Reservoir Data Assimilation: Best Practices

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

History matching a channelized reservoir: A distance function based approach

Rate Allocation Project summary

Application of the Adaptive Gaussian Mixture Filter to History Match a Real Field

Overview of Industry Standing and Practices for Produced Water

User manual IRIS-EnKF Matlab Code Appendix with ARTSim

Bridging the Ensemble Kalman filter and particle filters

History matching Channelized Reservoirs Using the Ensemble Kalman Filter

Improved Reservoir Forecasting Through Natural and Injected Tracer Modelling - 2008 Progress Report

Relative permeability estimation - An ensemble Kalman filter approach

Application of a hierarchical ensemble Kalman filter to reservoir model updating

Quantifying Monte Carlo uncertainty in ensemble Kalman filter

Production Optimization of Thin-Oil Rims:

Closed-Loop Reservoir Management Using the Brugge model

Comparing different ensemble Kalman filter approaches

Improved Reservoir Forecasting Through Natural and Injected Tracer Modelling - 2007 Progress Report

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

User manual for the IRIS EnKF Matlab code

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

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

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

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

Resource Effective Wells, - Final report for finalized projects

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

Description of the RF EnKF Matlab code

Updating reservoir models through ensemble Kalman filter - methodology and case studies

Real Time Interpretation of Measured Data during Underbalanced Drilling Operations

Real-time drilling systems - and Rogaland Research's future contribution

Evaluation for DINI with some examples

PRODUCTION MONITORING; Specification Document

STARS Demonstration of new technology for advanced reservoir steering

Methodology for evaluating necessary instrumentation and estimating inflow profiles in advanced wells

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