Combining sensitivities and prior information for covariance localization in the ensemble Kalman filter for petroleum reservoir applications
From MaRDI portal
Publication:536581
DOI10.1007/s10596-010-9198-yzbMath1213.86009OpenAlexW2072631273MaRDI QIDQ536581
Albert C. Reynolds, Alexandre Anozé Emerick
Publication date: 19 May 2011
Published in: Computational Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10596-010-9198-y
Related Items (13)
Iterative multilevel assimilation of inverted seismic data ⋮ Fast linearized forecasts for subsurface flow data assimilation with ensemble Kalman filter ⋮ Evaluation of Gaussian approximations for data assimilation in reservoir models ⋮ Characterization of non-Gaussian geologic facies distribution using ensemble Kalman filter with probability weighted re-sampling ⋮ Localized ensemble Kalman inversion ⋮ Iterative regularization for ensemble data assimilation in reservoir models ⋮ Sequential multilevel assimilation of inverted seismic data ⋮ Data-space inversion with ensemble smoother ⋮ Investigation on principal component analysis parameterizations for history matching channelized facies models with ensemble-based data assimilation ⋮ Localization and regularization for iterative ensemble smoothers ⋮ Coarse-scale data assimilation as a generic alternative to localization ⋮ Deterministic ensemble smoother with multiple data assimilation as an alternative for history-matching seismic data ⋮ Using a machine learning proxy for localization in ensemble data assimilation
Uses Software
Cites Work
This page was built for publication: Combining sensitivities and prior information for covariance localization in the ensemble Kalman filter for petroleum reservoir applications
