Effect of time stepping strategy on adjoint-based production optimization

DOI10.1007/s10596-015-9528-1zbMath1392.86047OpenAlexW2173637047MaRDI QIDQ722866

D. Kharzeev

Publication date: 27 July 2018

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

Full work available at URL: http://resolver.tudelft.nl/uuid:7012f941-d841-4215-8c48-c7a6b0994b80

zbMATH Keywords

reservoir simulationproduction optimizationtime step sensitivityadjoint gradient

Mathematics Subject Classification ID

Large-scale problems in mathematical programming (90C06) Inverse problems in geophysics (86A22) Computational methods for problems pertaining to geophysics (86-08) Potentials, prospecting (86A20) PDEs in connection with control and optimization (35Q93)

Related Items (5)

Derivative-free trust region optimization for robust well control under geological uncertainty ⋮ Fully implicit mixed-hybrid finite-element discretization for general purpose subsurface reservoir simulation ⋮ Operator-based linearization approach for modeling of multiphase multi-component flow in porous media ⋮ Gradient-based production optimization with simulation-based economic constraints ⋮ Distributed quasi-Newton derivative-free optimization method for optimization problems with multiple local optima

Uses Software

• SNOPT

Cites Work

• Unnamed Item
• Comprehensive framework for gradient-based optimization in closed-loop reservoir management
• Evaluating gradients in optimal control: continuous adjoints versus automatic differentiation
• Adjoint formulation and constraint handling for gradient-based optimization of compositional reservoir flow
• Efficient real-time reservoir management using adjoint-based optimal control and model updating
• Smooth Optimization Methods for Minimax Problems
• SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
• Perspectives in Flow Control and Optimization
• An Introduction to Numerical Analysis
• Numerical Experience with a Class of Algorithms for Nonlinear Optimization Using Inexact Function and Gradient Information

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