Oil reservoir production optimization using optimal control
- Resource Type
- Conference
- Authors
- Volcker, Carsten; Jorgensen, John Bagterp; Stenby, Erling Halfdan
- Source
- 2011 50th IEEE Conference on Decision and Control and European Control Conference Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on. :7937-7943 Dec, 2011
- Subject
- Robotics and Control Systems
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Reservoirs
Production
Optimal control
Mathematical model
Optimization
Equations
- Language
- ISSN
- 0191-2216
0743-1546
Practical oil reservoir management involves solution of large-scale constrained optimal control problems. In this paper we present a numerical method for solution of large-scale constrained optimal control problems. The method is a single-shooting method that computes the gradients using the adjoint method. We use an Explicit Singly Diagonally Implicit Runge-Kutta (ESDIRK) method for the integration and a quasi-Newton Sequential Quadratic Programming (SQP) algorithm for the constrained optimization. We use this algorithm in a numerical case study to optimize the production of oil from an oil reservoir using water flooding and smart well technology. Compared to the uncontrolled case, the optimal operation increases the Net Present Value of the oil field by 10%.