Reservoir uncertainty tolerant, proactive control of intelligent wells

DOI10.1007/s10596-015-9513-8zbMath1392.86050OpenAlexW2178026321MaRDI QIDQ722863

David R. Davies, Khafiz M. Muradov, Ahmed H. Elsheikh, Morteza Haghighat Sefat

Publication date: 27 July 2018

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

Full work available at URL: https://doi.org/10.1007/s10596-015-9513-8

zbMATH Keywords

K-means clusteringstochastic search algorithmproactive optimizationwell control

Mathematics Subject Classification ID

Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08) Potentials, prospecting (86A20) Geological problems (86A60)

Related Items (2)

Reservoir uncertainty tolerant, proactive control of intelligent wells ⋮ A robust, multi-solution framework for well placement and control optimization

Cites Work

• Unnamed Item
• Unnamed Item
• Theoretical research on reservoir closed-loop production management
• Reservoir uncertainty tolerant, proactive control of intelligent wells
• Theoretical connections between optimization algorithms based on an approximate gradient
• Modern multidimensional scaling. Theory and applications.
• Primer on Optimal Control Theory
• Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
• Introduction to Stochastic Search and Optimization
• Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation
• Robust Optimization of Large-Scale Systems
• A comparative evaluation of genetic and gradient-based algorithms applied to aerodynamic optimization
• Stochastic Estimation of the Maximum of a Regression Function
• An introduction to the adjoint approach to design

This page was built for publication: Reservoir uncertainty tolerant, proactive control of intelligent wells