Publications and outreach – DIGIRES

Paper by: Popov, A.A., Sandu, A., NinoRuiz, E.D., Evensen, G. (2023)
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
Tellus A: Dynamic Meteorology and Oceanography

Paper by: Luo, X. , Cruz, W.C. (2022)
Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother
Computational Geosciences

Monograph by: Evensen, G. , Vossepoel, F.C., van Leeuwen, P.J. (2022)
Data Assimilation Fundamentals: A Unified Formulation of the State and Parameter Estimation Problem
Springer

Lecture by: Chalub Cruz, W., Luo, X. , Petvipusit, K.R. (2022)
Joint History Matching of Production, Tracer, and 4D Seismic Data in a 3D FieldScale Case Study
SPE Norway Subsurface Conference

Lecture by: Luo, X. (2021)
An ensemble data assimilation workflow for subsurface characterization
Talk Series in Computer Science and Applications  AMLCS

Lecture by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2021)
Accounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning
Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

Lecture by: Chang, Y., Evensen, G. (2021)
The DIGIRES workflow for ensemblebased decision making
IOR Centre’s Workshop on Production optimization, value of information and decisionmaking

Lecture by: Tadjer, M.A.A., Alyaev, S. , Miner, D., Kuvaev, I., Bratvold, R.B. (2021)
Unlocking the Human Factor: Geosteering Decision Making as a Component of Drilling Operational Efficacy
The Unconventional Resources Technology Conference

Paper by: Luo, X. (2021)
Novel iterative ensemble smoothers derived from a class of generalized cost functions
Computational Geosciences

Confpaper by: Tadjer, M.A.A., Alyaev, S. , Miner, D., Kuvaev, I., Bratvold, R.B. (2021)
Unlocking the human factor : Geosteering decision making as a component of drilling operational efficacy
Society of Petroleum Engineers

Paper by: Evensen, G. (2021)
Formulating the history matching problem with consistent error statistics
Computational Geosciences

Paper by: Stordal, A.S. , Moraes, R.J., Raanes, P.N. , Evensen, G. (2021)
pKernel Stein Variational Gradient Descent for Data Assimilation and History Matching
Mathematical Geosciences

Lecture by: Chang, Y., Evensen, G. (2021)
Demonstration of the Digires ensemblebased reservoir management workflow
DIGIRES Steering Committee Project Meeting

Lecture by: Evensen, G. (2021)
An Iterative EnsembleSmoother Solution of the HM Problem Formulated with Consistent Error Statistics
SIAM GS

Lecture by: Raanes, P.N. (2021)
DAPPER: Data Assimilation with Python: a Package for Experimental Research
EnKF workshop

Lecture by: Luo, X. (2021)
Novel ensemble data assimilation algorithms derived from a class of generalized cost functions
International EnKF workshop 2021

Lecture by: Evensen, G. (2021)
Introducing ensemble methods for reservoir management
IOR Norway 2021

Paper by: Neto, G.M.S., Soares, R., Evensen, G. , Davolio, A., Schiozer, D.J. (2021)
Subspace Ensemble Randomized Maximum Likelihood with Local Analysis for TimeLapseSeismicData Assimilation
SPE Journal

Lecture by: Evensen, G. (2021)
A subspace iterative ensemble smoother for solving DA and inverse problems
ISDAonline

Lecture by: Evensen, G. (2021)
Efficient Subspace Implementation of an Iterative Ensemble Smoother for Solving Inverse Problems
SIAM CSE

Paper by: Soares, R., Luo, X. , Evensen, G. , Bhakta, T. (2020)
Handling Big Models and Big Data Sets in HistoryMatching Problems through an Adaptive Local Analysis Scheme
SPE Journal

Lecture by: Evensen, G. (2020)
Ensemble Kalman Filter for Increased Oil Recovery
 Oljedirektoratets IORpris 2020 webinar
 Seminar om metoder for studier av forskningseffekter

Lecture by: Evensen, G. (2020)
An international initiative of predicting the SARSCov2 pandemic using ensemble data assimilation
Second International Workshop on Data Assimilation for Decision Making, Colombia

Lecture by: Luo, X. (2020)
Novel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions
ECMOR XVII

Lecture by: Evensen, G. (2020)
Consistent Formulation and Error Statistics for Reservoir History Matching
ECMOR XVII

Paper by: Soares, R., Luo, X. , Evensen, G. , Bhakta, T. (2020)
4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method
Journal of Petroleum Science and Engineering

Confpaper by: Luo, X. (2020)
Novel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions
European Association of Geoscientists and Engineers (EAGE)

Confpaper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2020)
Accounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning
Society of Petroleum Engineers

Lecture by: Evensen, G. (2020)
Implementering og bruk av Ensemble Kalman Filter for bedre reservoarforståelse og økt utvinning
Offshore Stragegikonferansen

Lecture by: Alyaev, S. , Daireaux, B., Suter, E.C., Hong, A., Bratvold, R.B., Luo, X. , Fossum, K. (2019)
A Geosteeering Decision Support System that Balances Recovery and Drilling Risks
Formation Evaluation and Geosteering Workshop

Lecture by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2019)
An ensemblebased kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: a real field case study
NORA (The Norwegian Artificial Intelligence Research Consortium) meeting at NORCE

Paper by: Evensen, G. , Raanes, P.N. , Stordal, A.S. , Hove, J. (2019)
Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching
Frontiers in Applied Mathematics and Statistics

Lecture by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2019)
An ensemblebased kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: A real field case study
FORCE symposium: Applied Machine Learning and Advanced Analytics with Oil and Gas Data

Lecture by: Evensen, G. (2019)
DIGIRES Ensemblebased decision making for reservoir engineering
Data Assimilation for Decision making Universidad del Norte  Computer Science Department

Lecture by: Luo, X. (2019)
Ensemblebased kernel learning for a class of data assimilation problems with imperfect forward simulators
Department Colloquium, Department of Mathematics, University of Bergen

Poster by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2019)
Ensemblebased kernel learning for a class of data assimilation problems with imperfect forward simulators
Petroleum Geostatistics 2019

Lecture by: Stordal, A.S. , Moraes, R., Raanes, P.N. , Evensen, G. (2019)
Stein Variational Gradient Descent with Application to Data Assimilation
Petroleum Geostatistics

Lecture by: Raanes, P.N. , Stordal, A.S. , Evensen, G. (2019)
Revising the Method of Ensemble Randomized Maximum Likelihood
Petroleum Geostatistics 2019

Lecture by: Evensen, G. (2019)
Implementation of an iterative ensemble smoother for bigdata assimilation and reservoir history matching
Invited presentation University of Potsdam

Lecture by: Evensen, G. (2019)
Course on Data Assimilation
SUMMER SCHOOL ON DATA ASSIMILATION AND ITS APPLICATIONS IN OCEANOGRAPHY, HYDROLOGY, RISK & SAFETY AND RESERVOIR ENGINEERING

Lecture by: Jahani, N., Suter, E.C., Daireaux, B., Bratvold, R.B., Hong, A., Luo, X. , Fossum, K. , Alyaev, S. (2019)
Realtime multiobjective optimization of well trajectory under geological uncertainty
ICIAM 2019 Congress

Paper by: Raanes, P.N. , Bocquet, M., Carrassi, A. (2019)
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures
Quarterly Journal of the Royal Meteorological Society

Paper by: Luo, X. (2019)
Ensemblebased kernel learning for a class of data assimilation problems with imperfect forward simulators
PLOS ONE

Paper by: Luo, X. , Bhakta, T. (2019)
Automatic and adaptive localization for ensemblebased history matching
Journal of Petroleum Science and Engineering

Paper by: Alyaev, S. , Suter, E.C., Bratvold, R.B., Hong, A., Luo, X. , Fossum, K. (2019)
A decision support system for multitarget geosteering
Journal of Petroleum Science and Engineering

Confpaper by: Luo, X. , Lorentzen, R.J. , Bhakta, T. (2019)
Ensemblebased Kernel Learning to Handle Rockphysicsmodel Imperfection in Seismic History Matching: A Real Field Case Study
European Association of Geoscientists and Engineers (EAGE)

Paper by: Raanes, P.N. , Stordal, A.S. , Evensen, G. (2019)
Revising the stochastic iterative ensemble smoother
Nonlinear processes in geophysics

Paper by: Evensen, G. (2019)
Accounting for model errors in iterative ensemble smoothers
Computational Geosciences

Lecture by: Luo, X. (2019)
Ensemblebased kernel learning for a class of data assimilation problems with imperfect forward simulators
The 14th International Enkf Workshop

Poster by: Soares, R.V., Luo, X. , Evensen, G. (2019)
Use of KSVD Algorithm to Sparsely Represent 4D Seismic Data
14th International EnKF Workshop

Lecture by: Raanes, P.N. (2019)
DAPPER  a brief overview
modRSW workshop

Lecture by: Evensen, G. (2019)
Formulation of iterative ensemble smoothers
Workshop on Data Assimilation: Methodology and Applications

Lecture by: Soares, R.V., Luo, X. , Evensen, G. (2019)
Sparse Representation of 4D Seismic Signal Based on Dictionary Learning
SPE Norway One Day

Lecture by: Luo, X. (2019)
An ensemble based learning framework for history matching with imperfect forward simulators
The 11th annual meeting of International Society for Porous Media (InterPore 2019).

Lecture by: Evensen, G. (2019)
HM theory course  1st round
Internal workshop in Equinor

Lecture by: Raanes, P.N. (2019)
EnKF  FAQ
 Visiting seminar, ENSEEIHT/IRIT, Toulouse
 modRSW workshop, University of Leeds
 EnKF workshop, Bergen
The following questions were treated
 Why 1/(N1)?
 About nonlinearity
 How does it cause sampling error?
 How does it cause divergence?
 Why do we prefer the Kalman gain form?
 About ensemble linearisations
 What are they?
 Why is this rarely discussed?
 How does it relate to analytic derivatives?

Lecture by: Evensen, G. (2019)
Potential of iterative ensemble methods for solving the nonlinear state and parameterestimation problem
7th International Symposium on Data Assimilation
Total: 57