Jointly updating the mean size and spatial distribution of facies in reservoir history matching

DOI10.1007/s10596-015-9478-7zbMath1392.86049OpenAlexW844485810MaRDI QIDQ723070

Haibin Chang, Dongxiao Zhang

Publication date: 30 July 2018

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

Full work available at URL: https://doi.org/10.1007/s10596-015-9478-7

zbMATH Keywords

Gaussian random fieldfacies mean sizeKL expansionLM\(\_\)EnRMLreservoir facies distribution

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08)

Related Items (2)

Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow ⋮ Shape and distributed parameter estimation for history matching using a modified Ensemble Kalman filter and level sets

Cites Work

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• A level-set corrector to an adaptive multiscale permeability prediction
• Relation between level set and truncated pluri-Gaussian methodologies for facies representation
• Application of the EnKF and localization to automatic history matching of facies distribution and production data
• History matching with an ensemble Kalman filter and discrete cosine parameterization
• History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique
• Levenberg-Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification
• History matching of facies distribution with the EnKF and level set parameterization
• History matching of petroleum reservoirs using a level set technique
• Transition probability-based indicator geostatistics

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