Andreas Størksen Stordal

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Forsker
Telefon: 93637335
Avdeling: Bunnfisk

Curriculum Vitae

Statistikk, Romlig statistikk, Monte Carlo metoder, Tidsrekke.

Publikasjoner

Vitenskapelige artikler (NVI)

2018

A Generalized Randomized Maximum Likelihood for Improved Bayesian History Matching

A.S. Stordal, G. Nævdal
Computational Geosciences 22 p. 29-41
2017

An auxiliary adaptive Gaussian mixture filter applied to flowrate allocation using real data from a multiphase producer

RJ Lorentzen, AS Stordal, N Hewitt
Computers & Geosciences 102 p. 34-44
2017

Improving Physically Based Snow Simulations by Assimilating Snow Depth using the Particle Filter

J. Magnusson, A. Winstral, A.S. Stordal, R. Essery, T. Jonas
Water Resources Research,
2017

An Adaptive Pluri-Gaussian Simulation Model for Geological Uncertainty Quantification

B. Sebacher, R. Hanea, A. S. Stordal, A. Heemink
Journal of Petroleum Science and Engineering 158 p. 494-508
2017

Asymptotic properties of the adaptive Gaussian mixture filter

A.S. Stordal, H.A. Karlsen
Monthly Weather Review
2016

Integrated Work Flow of Preserving facies Realism in History Matching: Application to the Brugge

Y. Chang, A. S. Stordal R. Valestrand
SPE J 21 p. 1413-1424
2016

Complex Geology Estimation using the iterative adaptvie Gaussian mixture filter

B. Sebacher, A.S. Stordal, R. Hanea,
Computational Geosciences 20 p. 133-148
2016

Estimation of Production Rates Using TransientWell Flow Modeling and the Auxiliary Particle Filter,

R. Lorentzen, A.S. Stordal, X.Luo, G. Nævdal,
SPE Production and Operations 31 p. 163-175
2016

A Theoretical look at Ensemble based Optimization for Reservoir Management

A.S. Stordal, S.P. Szklarz, O. Leeuwenburgh
Mathematical Geosciences 48 p. 399-17
2015

Iterative ensemble smoothing as an approximation solution to a regularized minimum-average-cost problem:theory and applications

X. Luo, A.S. Stordal, R.J. Lorentzen , G. Nævdal
SPE-J 20 p. 962-982
2015

Ensemble Smoothers in the Annealed Importance Sampling Framework

A.S. Stordal and A.H. Elsheikh
Advances in Water Resources, 86 p. 231-239
2015

Iterative Baysesian Inversion with Gaussian Mixtures: Finite sample implementation and Large sample Asymptotics

A.S. Stordal
Computational Geosciences 19 p. 1-15
2014

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

X. Luo, R.J. Lorentzen, A.S. Stordal, G. Nævdal
Inverse Problems 30
2014

An Iterative Version of the Adaptive Gaussian Mixture Filter

A.S. Stordal, R. Lorentzen
Computational Geosciences 18 p. 579-595
2013

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

R. Lorentzen, A.S. Stordal, G. Nævdal, H.A. Karlsen, H.J. Skaug
SPE Journal
2012

Filtering with state space localized Kalman gain

A.S. Stordal, H.A. Karlsen, G. Nævdal, D.S. Oliver, H.J. Skaug
Physica D: Nonlinear Phenomena 241 p. 1123-1135
2012

Evaluation of EnKF and variants on a field model

R. Valestrand, G. Nævdal, A.S. Stordal
Oil & Gas Science and Technology-Revue d’IFP Energies nouvelles
2012

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

A.S. Stordal, R. Valestrand, H.A. Karlsen, G. Nævdal, H.J. Skaug
Computational Geosciences 16 p. 467-482
2011

Characterization of permeability and porosity from nanosensor observations

A.S. Stordal, D.S. Oliver
Advances in Water Resources 34 p. 946-956
2011

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

A.S. Stordal, H.A. Karlsen, G. Nævdal, H.J. Skaug, B. Vallès
Computational Geosciences 15 p. 293-305
201

Bridging Multi-point statistics and truncated Gaussian fields for improved estimation of channelized

B. Sebacher, A.S. Stordal, R.G. Hanea
Computational Geosciences 19 p. 341-369

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