Estimation of Flow Rate and Viscosity in a Well with an Electric Submersible Pump using Moving Horizon Estimation∗∗This work is funded by the Research Council of Norway and Statoil through the PETROMAKS project No. 215684: Enabling High-Performance Safety-Critical Offshore and Subsea Automatic Control Systems Using Embedded Optimization (emOpt)-Reference-Cited by-同舟云学术

Estimation of Flow Rate and Viscosity in a Well with an Electric Submersible Pump using Moving Horizon Estimation∗∗This work is funded by the Research Council of Norway and Statoil through the PETROMAKS project No. 215684: Enabling High-Performance Safety-Critical Offshore and Subsea Automatic Control Systems Using Embedded Optimization (emOpt)

Published:2015 Issue:6 Volume:48 Page:140-146
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Binder Benjamin J.T.,Pavlov Alexey,Johansen Tor A.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference24 articles.

1. Observer design for multiphase flow in vertical pipes with gas-lift–-theory and experiments;Aamo;Journal of Process Control,2005

2. Beall, R.Q., Sheth, K.K., and Olsen, H. (2011). An integrated solution enabling allocation of heavy oil in the peregrino field. In Offshore Technology Conference. Houston, TX, USA.

3. Binder, B.J.T., Kufoalor, D.K.M., Pavlov, A., and Johansen, T.A. (2014). Embedded Model Predictive Control for an Electric Submersible Pump on a Programmable Logic Controller. In Proc. 2014 IEEE Conference on Control Applications (CCA).

4. Bloemen, H., Belfroid, S., Sturm, W., and Verhelst, F. (2004). Soft sensing for gas-lift wells. In SPE Annu. Tech. Conf. and Exhibition. Houston, TX, USA.

5. Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations;Diehl;Journal of Process Control,2002

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimental evaluation of soft sensors in an electrical submersible pump system: Validation in an ESP-lifted oil well pilot plant;Geoenergy Science and Engineering;2024-09

2. Physics-informed neural nets for control of dynamical systems;Neurocomputing;2024-04

3. Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps;Journal of Petroleum Exploration and Production Technology;2024-02-22

4. Electric Submersible Pump Lifted Oil Field: Basic Model for Control, and Comparison of Simulation Tools;Energies;2024-01-20

5. Artificial neural networks;Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition;2024