Browsing NTNU Open by Author "Suwartadi, Eka"
Now showing items 1-7 of 7
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Fast Economic Model Predictive Control for a Gas Lifted Well Network
Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes (Journal article; Peer reviewed, 2018)This paper considers the optimal operation of an oil and gas production network by formulating it as an economic nonlinear model predictive control (NMPC) problem. Solving the associated nonlinear program (NLP) can be ... -
Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP
Suwartadi, Eka; Jäschke, Johannes (Journal article; Peer reviewed, 2018)We present a fast sensitivity-based nonlinear model predictive control (NMPC) algorithm, that can handle non-unique multipliers in the discretized dynamic optimization problem. Non-unique multipliers may arise, for example ... -
Gradient-based Methods for Production Optimization of Oil Reservoirs
Suwartadi, Eka (Doktoravhandlinger ved NTNU, 1503-8181; 2012:104, Doctoral thesis, 2012)Production optimization for water flooding in the secondary phase of oil recovery is the main topic in this thesis. The emphasis has been on numerical optimization algorithms, tested on case examples using simple hypothetical ... -
Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes (Journal article; Peer reviewed, 2018)This letter proposes a computationally efficient algorithm for robust multistage scenario model predictive control (MPC). In multistage scenario MPC, the evolution of uncertainty in the prediction horizon is represented ... -
Nonlinear Output Constraints Handling for Production Optimization for Oil Reservoirs
Suwartadi, Eka; Krogstad, Stein; Foss, Bjarne Anton (Journal article; Peer reviewed, 2012) -
Real Time Optimization and Nonlinear Model Predictive Control of a Gas Lifted Oil Network
Yahia, Sarry Haj (Master thesis, 2018)As oil reserves become scarcer, oil production and recovery must be enhanced. The gas lift is one of the techniques used to enhance oil production and recovery. It is usually used in reservoirs that suffer from insufficient ... -
Sensitivity-Based Economic NMPC with a Path-Following Approach
Suwartadi, Eka; Jaschke, Johannes (Journal article; Peer reviewed, 2017)We present a sensitivity-based predictor-corrector path-following algorithm for fast nonlinear model predictive control (NMPC) and demonstrate it on a large case study with an economic cost function. The path-following ...