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   Articles with "ensemble kalman" as a keyword



Reservoir history matching using constrained ensemble Kalman filtering

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recommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"

DOI: 10.1002/cjce.22965

Abstract: The high heterogeneity of petroleum reservoirs, represented by their spatially varying rock properties (porosity and permeability), greatly dictates the quantity of recoverable oil. In this work, the estimation of the spatial permeability distribution, which is… read more here.

Keywords: estimation; kalman filtering; history matching; ensemble kalman ... See more keywords

An iterative ensemble Kalman filter in the presence of additive model error

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recommendations! Published in 2017 at "Quarterly Journal of the Royal Meteorological Society"

DOI: 10.1002/qj.3213

Abstract: The iterative ensemble Kalman filter (IEnKF) in a deterministic framework was introduced in Sakov et al. (2012) to extend the ensemble Kalman filter (EnKF) and improve its performance in mildly up to strongly nonlinear cases.… read more here.

Keywords: kalman filter; model; ensemble kalman; additive model ... See more keywords

Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures

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recommendations! Published in 2019 at "Quarterly Journal of the Royal Meteorological Society"

DOI: 10.1002/qj.3386

Abstract: This paper studies multiplicative inflation: the complementary scaling of the state covariance in the ensemble Kalman filter (EnKF). Firstly, error sources in the EnKF are catalogued and discussed in relation to inflation; nonlinearity is given… read more here.

Keywords: kalman filter; scale; ensemble kalman; adaptive inflation ... See more keywords
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A consistent interpretation of the stochastic version of the Ensemble Kalman Filter

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recommendations! Published in 2020 at "Quarterly Journal of the Royal Meteorological Society"

DOI: 10.1002/qj.3819

Abstract: Ensemble Kalman Filters are used extensively in all geoscience areas. Often a stochastic variant is used, in which each ensemble member is updated via the Kalman Filter equation with an extra perturbation in the innovation.… read more here.

Keywords: kalman; kalman filter; interpretation stochastic; ensemble kalman ... See more keywords

Bayesian Ensemble Kalman Filter for Gaussian Mixture Models

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recommendations! Published in 2024 at "Mathematical Geosciences"

DOI: 10.1007/s11004-024-10160-7

Abstract: Inverse theory and data assimilation methods are commonly used in earth and environmental science studies to predict unknown variables, such as the physical properties of underground rocks, from a set of measured geophysical data, like… read more here.

Keywords: ensemble kalman; mixture models; kalman filter; mixture ... See more keywords

Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference

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recommendations! Published in 2022 at "Statistics and Computing"

DOI: 10.1007/s11222-021-10075-x

Abstract: Many real-world problems require one to estimate parameters of interest, in a Bayesian framework, from data that are collected sequentially in time. Conventional methods for sampling from posterior distributions, such as Markov chain Monte Carlo… read more here.

Keywords: carlo sampler; monte carlo; kalman filter; ensemble kalman ... See more keywords

Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach

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recommendations! Published in 2020 at "Journal of Geophysical Research"

DOI: 10.1029/2019jd031884

Abstract: Satellite‐ and ground‐based remote sensing are two widely used techniques to measure aerosol properties. However, neither is perfect in that satellite retrievals suffer from various sources of uncertainties, and ground observations have limited spatial coverage.… read more here.

Keywords: ground; ground based; kalman filter; aerosol optical ... See more keywords

Improving Solar Radiation Forecasts During Stratocumulus Conditions Using Large Eddy Simulations and an Ensemble Kalman Filter

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recommendations! Published in 2025 at "Journal of Advances in Modeling Earth Systems"

DOI: 10.1029/2024ms004759

Abstract: Forecasting solar radiation is critical for balancing the electricity grid due to increasing production from solar energy. To this end, we need precise simulation of clouds, which is traditionally done by numerical weather prediction. However,… read more here.

Keywords: large eddy; ensemble kalman; kalman filter; simulation ... See more keywords

Regularized ensemble Kalman inversion for robust and efficient gravity data modeling to identify mineral and ore deposits.

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recommendations! Published in 2025 at "Scientific reports"

DOI: 10.1038/s41598-025-30141-y

Abstract: Modeling mineral and ore bodies from gravity anomalies remains challenging in geophysical exploration due to the ill-posed and non-unique nature of the inverse problem, particularly under conditions of noisy or sparse data. Established inversion methods,… read more here.

Keywords: regularized ensemble; gravity; ensemble kalman; inversion ... See more keywords

Convergence analysis of ensemble Kalman inversion: the linear, noisy case

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recommendations! Published in 2017 at "Applicable Analysis"

DOI: 10.1080/00036811.2017.1386784

Abstract: Abstract We present an analysis of ensemble Kalman inversion, based on the continuous time limit of the algorithm. The analysis of the dynamical behaviour of the ensemble allows us to establish well-posedness and convergence results… read more here.

Keywords: analysis ensemble; analysis; kalman inversion; case ... See more keywords

Well posedness and convergence analysis of the ensemble Kalman inversion

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recommendations! Published in 2019 at "Inverse Problems"

DOI: 10.1088/1361-6420/ab149c

Abstract: The ensemble Kalman inversion is widely used in practice to estimate unknown parameters from noisy measurement data. Its low computational costs, straightforward implementation, and non-intrusive nature makes the method appealing in various areas of application.… read more here.

Keywords: analysis ensemble; kalman inversion; well posedness; ensemble kalman ... See more keywords