Ensemble-based seismic and production data assimilation using selection Kalman model

DOI10.1007/s11004-021-09940-2zbMath1477.86019OpenAlexW3156667244MaRDI QIDQ2066808

Dario Grana, Maxime Conjard

Publication date: 14 January 2022

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-021-09940-2

zbMATH Keywords

multimodalityhistory matchingensemble smootherseismic inversionchannelized reservoirselection Kalman model

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Inverse problems in geophysics (86A22)

Related Items (2)

Application of Bayesian generative adversarial networks to geological facies modeling ⋮ Randomized tensor decomposition for large-scale data assimilation problems for carbon dioxide sequestration

Uses Software

• Matlab
• EnKF
• MRST

Cites Work

• Unnamed Item
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• Multivariate categorical modeling with hierarchical truncated pluri-Gaussian simulation
• Recent progress on reservoir history matching: a review
• A skewed Kalman filter
• Sequential Data Assimilation Techniques in Oceanography
• Bayesian Spatial Inversion and Conjugate Selection Gaussian Prior Models
• A unified view on skewed distributions arising from selections
• The ensemble Kalman filter for combined state and parameter estimation
• An Introduction to Reservoir Simulation Using MATLAB/GNU Octave

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