• A Distributed Algorithm for Scenario-based Model Predictive Control using Primal Decomposition * 

      Krishnamoorthy, Dinesh; Foss, Bjarne Anton; Skogestad, Sigurd (Journal article; Peer reviewed, 2018)
      In this paper, we consider the decomposition of scenario-based model predictive control problem. Scenario MPC explicitly considers the concept of recourse by representing the evolution of uncertainty by a discrete scenario ...
    • A Distributed Optimization Strategy for Large Scale Oil and Gas Production Systems 

      Krishnamoorthy, Dinesh; Aguiar, Marco Aurelio; Foss, Bjarne Anton; Skogestad, Sigurd (Journal article; Peer reviewed, 2018)
      n this paper, we consider the problem of real-time optimization of an oil and gas production network. The production network is often made of several wells from different reservoir sections producing to a common processing ...
    • A Primal decomposition algorithm for distributed multistage scenario model predictive control 

      Krishnamoorthy, Dinesh; Foss, Bjarne Anton; Skogestad, Sigurd (Journal article; Peer reviewed, 2019)
      This paper proposes a primal decomposition algorithm for efficient computation of multistage scenario model predictive control, where the future evolution of uncertainty is represented by a scenario tree. This often results ...
    • 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 ...
    • Plantwide control of an oil production network 

      Jahanshahi, Esmaeil; Krishnamoorthy, Dinesh; Codas Duarte, Andres; Foss, Bjarne Anton; Skogestad, Sigurd (Peer reviewed; Journal article, 2020)
      In this paper, we consider Real-Time Optimization (RTO) and control of an oil production system. We follow a systematic plantwide control procedure. The process consists of two gas-lift oil wells connected to a pipeline-riser ...
    • Real-Time Optimization under Uncertainty Applied to a Gas Lifted Well Network 

      Krishnamoorthy, Dinesh; Foss, Bjarne Anton; Skogestad, Sigurd (Journal article; Peer reviewed, 2016)
      In this work, we consider the problem of daily production optimization in the upstream oil and gas domain. The objective is to find the optimal decision variables that utilize the production systems efficiently and maximize ...
    • Steady-State Real-time Optimization using Transient Measurements 

      Krishnamoorthy, Dinesh; Foss, Bjarne Anton; Skogestad, Sigurd (Journal article; Peer reviewed, 2018)
      Real-time optimization (RTO) is an established technology, where the process economics are optimized using rigourous steady-state models. However, a fundamental limiting factor of current static RTO implementation is the ...