History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique

DOI10.1007/s10596-014-9409-zzbMath1393.86015OpenAlexW1992990726MaRDI QIDQ1663659

Dongxiao Zhang, Haibin Chang

Publication date: 22 August 2018

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

Full work available at URL: https://doi.org/10.1007/s10596-014-9409-z

zbMATH Keywords

Karhunen-Loeve expansionreservoir history matchingglobal parameterizationstatistically anisotropic field

Mathematics Subject Classification ID

Random fields (60G60) Inference from stochastic processes and prediction (62M20) Geostatistics (86A32) Potentials, prospecting (86A20)

Related Items (2)

3D joint hydrogeophysical inversion using similarity measures ⋮ Jointly updating the mean size and spatial distribution of facies in reservoir history matching

Cites Work

• Unnamed Item
• Unnamed Item
• Integrating production data under uncertainty by parallel interacting Markov chains on a reduced dimensional space
• The probability perturbation method: a new look at Bayesian inverse modeling
• 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
• Extended probability perturbation method for calibrating stochastic reservoir models
• An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions.
• Gradual deformation and iterative calibration of sequential stochastic simulations
• Efficient real-time reservoir management using adjoint-based optimal control and model updating
• History matching of facies distribution with the EnKF and level set parameterization

This page was built for publication: History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique