Comprehensive framework for gradient-based optimization in closed-loop reservoir management

DOI10.1007/s10596-015-9496-5zbMath1392.86006OpenAlexW362368662MaRDI QIDQ723089

Khalid Aziz, Oleg Volkov, Vladislav Bukshtynov, Louis J. Durlofsky

Publication date: 30 July 2018

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

Full work available at URL: https://doi.org/10.1007/s10596-015-9496-5

zbMATH Keywords

noisy dataautomatic differentiationreservoir managementhistory matchingproduction optimizationseismic dataadjoint formulationPCA-based parameterization

Mathematics Subject Classification ID

Seismology (including tsunami modeling), earthquakes (86A15) Inverse problems in geophysics (86A22) Computational methods for problems pertaining to geophysics (86-08) Potentials, prospecting (86A20)

Related Items (9)

Derivative-free trust region optimization for robust well control under geological uncertainty ⋮ On reconstruction of binary images by efficient sample-based parameterization in applications for electrical impedance tomography ⋮ Gradient-based Pareto optimal history matching for noisy data of multiple types ⋮ Multi-asset closed-loop reservoir management using deep reinforcement learning ⋮ Multiscale optimization via enhanced multilevel PCA-based control space reduction for electrical impedance tomography imaging ⋮ Gradient-based production optimization with simulation-based economic constraints ⋮ Effect of time stepping strategy on adjoint-based production optimization ⋮ Regularized kernel PCA for the efficient parameterization of complex geological models ⋮ A method of FE modeling multiphase compressible flow in hydrocarbon reservoirs

Uses Software

• SNOPT
• NLopt

Cites Work

• Unnamed Item
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• Optimal reconstruction of material properties in complex multiphysics phenomena
• Adjoint-based optimization of multi-phase flow through porous media -- a review
• Impact of time-lapse seismic data for permeability estimation
• On optimal reconstruction of constitutive relations
• A new differentiable parameterization based on principal component analysis for the low-dimensional representation of complex geological models
• Kernel principal component analysis for efficient, differentiable parametrization of multipoint geostatistics
• Adjoint formulation and constraint handling for gradient-based optimization of compositional reservoir flow
• Recent progress on reservoir history matching: a review
• Efficient real-time reservoir management using adjoint-based optimal control and model updating
• Waterflooding using closed-loop control
• The method of moving asymptotes—a new method for structural optimization
• Inverse Problem Theory and Methods for Model Parameter Estimation
• Image Processing: The Fundamentals

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