13th international EnKF workshop (2018)

The ensemble Kalman filter (EnKF) and its many variants have been proven effective for data assimilation in large models, including those in atmospheric, oceanic, hydrologic, and petroleum reservoir systems. By bringing together technical experts, practitioners, researchers and students for presentations and informal interchange of information, we aim to share research results and suggest important challenges that have yet to be addressed.

Program

Download the workshop program here.

Venue

Location: Scandic Bergen City, Bergen
Dates: MAY 28-30, 2018

Registration Fee

Fee information not available. Accommodation at Scandic Bergen City available at NOK 1,590 per night.

Invited Speakers

Nancy Nichols University of Reading, UK	Diagnosis, conditioning and regularization of error covariance matrices in data assimilation
Svetlana Dubinkina Centrum Wiskunde & Informatica (CWI), Netherlands	Relevance of conservation laws for an Ensemble Kalman Filter
Harrie-Jan Hendricks-Franssen Forschungszentrum Jülich, Germany	Coupled data assimilation for the atmosphere-land surface-subsurface models
Yan Chen Total GRC, UK	Uncertainty representation in reservoir history matching with ensemble methods

Presentations

Nancy Nichols	talk	Diagnosis, conditioning and regularization of error covariance matrices in data assimilation
Bart de Leeuw	talk	Shadowing for data assimilation with imperfect models
Svetlana Dubinkina	talk	Relevance of conservation laws for an Ensemble Kalman Filter
Maxime Conjard	talk	EnKF using selection Gaussian prior
Jakob Skauvold	talk	Revised Implicit Equal-Weights Particle Filter
Harrie-Jan Hendricks Franssen	talk	Coupled data assimilation for the atmosphere-land surface-subsurface models
Patrick Laloyaux	talk	Ensemble based and implicit cross-correlations in coupled data assimilation
Patrick N. Raanes	talk	Adaptive covariance inflation in the EnKF by Gaussian scale mixtures
Rafael Santana	talk	The impact of assimilating SST, Argo and SLA data into a tidally driven model for the Brazil current region
Henrik Andersson	talk	Assessing the ecological state of the ocean by integration of models and observations using data assimilation in MIKE 21/3 FM biogeochemical models
Geir Evensen	talk	Accounting for model errors in iterative ensemble smoothers
Xiaodong Luo	talk	Big data assimilation and uncertainty quantification in ensemble-based 4D seismic history matching
Sungil Kim	talk	Hybrid sparse dictionary construction using K-SVD and DCT for history matching by ES-MDA
Julien Thurin	talk	Using the Ensemble Transform Kalman Filter to estimate uncertainty in Full Waveform Inversion
Rolf J. Lorentzen	talk	History matching real production and seismic data for the Norne field combining seismic inversion, petroelastic models, and fluid flow simulations