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Real-Time Optimization under Uncertainty Applied to a Gas Lifted Well Network

https://doi.org/10.3390/pr4040052
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Solving a gas-lift optimization problem by dynamic programming
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Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing
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Modelling and Extremum Seeking Control of Gas Lifted Oil Wells
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Production Optimization under Uncertainty - Applied to Petroleum Production
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A two-layer structure for stabilization and optimization of an oil gathering network**We acknowledge the support of the Center for Integrated Operations at NTNU (Norway).
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Modelling and Robustness Analysis of Model Predictive Control for Electrical Submersible Pump Lifted Heavy Oil Wells
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On Generalized Reduced Gradient method with multi-start and self-optimizing control structure for gas lift allocation optimization
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Multi-stage nonlinear model predictive control applied to a semi-batch polymerization reactor under uncertainty
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Stabilization of Gas Lifted Wells Based on State Estimation
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Robust formulations for production optimization of satellite oil wells
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Optimizing gas-lift production of oil wells: piecewise linear formulation and computational analysis
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Min-max feedback model predictive control for constrained linear systems
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Nonlinear Programming
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Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming
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On Instability in Gas Lift Wells and Schemes for Stabilization by Automatic Control
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Well Management Under Uncertain Gas/ or Water/Oil Ratios
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Performance Analysis for Closed-Loop Reservoir Management
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Simplified Dynamic Models for Control of Riser Slugging in Offshore Oil Production
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Real-Time Production Optimization of Offshore Oil and Gas Production Systems: A Technology Survey
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Robust Nonlinear Model Predictive Control with Reduction of Uncertainty via Robust Optimal Experiment Design

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Oil production optimization of several wells subject to choke degradation ⁎ ⁎We acknowledge financial support by SUBPRO center for research based innovation, www.ntnu.edu/subpro, and DNV-GL
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Gas-lift Optimization by Controlling Marginal Gas-Oil Ratio using Transient Measurements ⁎ ⁎The authors gratefully acknowledge the financial support from SFI SUBPRO, which is financed by the Research Council of Norway major industry partners and NTNU.
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Fast Economic Model Predictive Control for a Gas Lifted Well Network ⁎ ⁎The authors gratefully acknowledge the financial support from Research Council of Norway through IKTPLUSS Young Researcher Grant and SFI SUBPRO programs.
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