Trajectory-based DEIM (TDEIM) model reduction applied to reservoir simulation

DOI10.1007/s10596-018-9782-0zbMath1411.86003OpenAlexW2898194277WikidataQ129036018 ScholiaQ129036018MaRDI QIDQ1741638

Nazish Hoda, Xiaosi Tan, Eduardo Gildin, Sumeet Trehan, Horacio Florez, Yahan Yang

Publication date: 6 May 2019

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

Full work available at URL: https://doi.org/10.1007/s10596-018-9782-0

zbMATH Keywords

model reductiondiscrete empirical interpolation methodtrajectory piecewise linearization

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Computational methods for problems pertaining to geophysics (86-08)

Related Items (6)

A generalized DEIM technique for model order reduction of porous media simulations in reservoir optimizations ⋮ Model-Order Reduction for Coupled Flow and Linear Thermal-Poroplasticity with Applications to Unconventional Reservoirs ⋮ Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods ⋮ Global/local model order reduction in coupled flow and linear thermal-poroelasticity ⋮ Adaptive POD-Galerkin technique for reservoir simulation and optimization ⋮ Non-intrusive subdomain POD-TPWL for reservoir history matching

Uses Software

• MRST

Cites Work

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• Reduced-order optimal control of water flooding using proper orthogonal decomposition
• Linearized reduced-order models for subsurface flow simulation
• Efficient non-linear model reduction via a least-squares Petrov-Galerkin projection and compressive tensor approximations
• Constraint reduction procedures for reduced-order subsurface flow models based on POD-TPWL
• Nonlinear Model Reduction via Discrete Empirical Interpolation
• Application of POD and DEIM on dimension reduction of non-linear miscible viscous fingering in porous media
• Localized Discrete Empirical Interpolation Method

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