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Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells.

, , and . Neural Networks, (2017)

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Differentiation Tool Efficiency Comparison for Nonlinear Model Predictive Control Applied to Oil Gathering Systems., , , and . NOLCOS, page 821-826. International Federation of Automatic Control, (2013)A Lagrangian-barrier function for adjoint state constraints optimization of oil reservoirs water flooding., , and . CDC, page 3884-3889. IEEE, (2010)Second-order adjoint-based control for multiphase flow in subsurface oil reservoirs., , and . CDC, page 1866-1871. IEEE, (2010)Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm., , , , and . IEEE Control. Syst. Lett., 2 (4): 581-586 (2018)Joint optimization of oil well placement and controls, , , , and . Computational Geosciences, 16 (4): 1061--1079 (2012)Steady-state real-time optimization using transient measurements., , and . Comput. Chem. Eng., (2018)An Augmented Lagrangian for Optimal Control of DAE Systems: Algorithm and Properties., , and . IEEE Trans. Autom. Control., 66 (1): 261-266 (2021)Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells., , and . Neural Networks, (2017)A Distributed Optimization Strategy for Large Scale Oil and Gas Production Systems., , , and . CCTA, page 521-526. IEEE, (2018)Scenario-based MPC with gradual relaxation of output constraints., and . CDC, page 6530-6534. IEEE, (2015)