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 Closed Loop Reservoir Management - Oil ProductionSection for Scientific Computing, 
DTU Compute, 
Technical University of Denmark 
 Oil ProductionThe objective of this project is to increase the oil production from the Danish sector of the North Sea 
and from other oil fields as well. Increasing the oil production by 1% point in the Danish sector of 
the North Sea has an economic value of approximately 50 billion DKK. Only about 30% of the oil present 
is recovered by current oil production technology.
 To increase the oil recovery, we do research in Nonlinear Model Predictive Control (NMPC) for closed-loop 
production optimization of oil reservoirs. In NMPC we actively manipulate the water injection and the 
bore hole pressures (BHPs) to have a more uniform sweep of oil and to better recover the available oil. 
Prototype simulations indicate that the increased oil recoveries are in the order of 10% compared to current 
operation.
 The schematics below indicate the principle of NMPC for increased oil recovery. The method is computationally
intensive and requires high performance computing (HPC) facilities along with very efficient numerical algorithms.
Our primary research is in expression of the NMPC problem and in improving the numerical algorithms to make NMPC
feasible for oil reservoir production optimization. Offshore Oil ReservoirOffshore subsurface oil field consists typical of a number resevoirs. Multiple injection and production wells are
associated with each oil reservoir. All these wells are connected to a platform. 
 Closed Loop Reservoir ManagementThe closed-loop diagram for oil reservoir management using NMPC is illustrated in the figure below.
When new production related measurements and possible geological information (seismic) are available,
data assimilation algorithms are used to update the reservoir models as well as the estimate of the saturation
and pressure in the reservoir. Having the updated estimates and reservoir models, the trajectories of the water 
injection rates at the injection wells and the BHPs at the production wells are recomputed. These trajectories
are computed such that the expected net present value (or a related financial measure) of the reservoir over its 
remaining lifetime is maximized. Only the water injection rates and BHPs corresponding to the first period of the
trajectories are implemented. As new measurements becomes available (say 1 month later), the entire procedure is
repeated.  High Performance Computing (HPC)NMPC for closed loop reservoir management is computaionally demanding. We demonstrate the feasibility
and economic potential of NMPC for closed loop reservoir management by simulation using high performance
computer clusters at the Technical University of Denmark. PublicationsPhD Theses
Steen Hørsholt: Operational Optimization of Oil Reservoirs in the Danish Sector of the North Sea, 2019Lasse Hjuler Christiansen: Optimal Control of PDE-Constrained Systems, 2019Tobias Kasper Skovborg Ritschel: Nonlinear Model Predictive Control for Oil Reservoirs, 2018Andrea Capolei: Numerical Methods for Oil Reservoirs Management, 2013Carsten Völcker: Production Optimization of Oil Reservoirs, 2012 MSc Theses
Thomas Bruun Bertelsen: Uncertainty Quantification, Filtering and Prediction for Oil Reservoir Operations, 2015-2016Lasse Hjuler Christiansen: Multi Objective PDE Constrained Optimization for Oil Reservoir Management, 2015Steen Hørsholt: Simulation of Oil Reservoirs, 2015 Tobias Kaspar Skovborg Ritschel: High-Performance Computing for PDE Constrained Optimization in Oil Reservoirs Management, 2015Peter Edward Ackermann: Stochastic Optimization and Risk Management in the Production Optimization of Oil Reservoirs, 2014-2015Hosein Arya: Production Optimization and Simulation of Oil Reservoirs, 2013-2014Søren Skov Hansen: Numerical Methods for Simulation and Optimization of Oil Production, 2012Dariusz Lerch: Modeling and Production Optimization of Oil Reservoirs, 2011-2012 Papers
Computation of Phase Equilibrium in Reservoir Simulation and Optimization
T.K.S. Ritschel, J.B. Jørgensen 
Oil Production Optimization by Integration of Matlab and Eclipse
S. Hørsholt, H.M. Nick, J.B. Jørgensen 
A Least Squares Method for Ensemble-based Multi-objective Oil Production Optimization
L.H. Christiansen, S. Hørsholt, J.B. Jørgensen 
Production Optimization of a Rigorous Thermal and Compositional Reservoir Flow Model
T.K.S. Ritschel, J.B. Jørgensen 
An algorithm for gradient-based dynamic optimization of UV flash processes
T.K.S. Ritschel, A. Capolei, J. Gaspar, J.B. Jørgensen 
The Adjoint Method for Gradient Based Dynamic Optimization of UV Flash Processes
T.K.S. Ritschel, A. Capolei, J.B. Jørgensen 
Offset Risk Minimization for Life-cycle Oil Production Optimization
A. Capolei, L.H. Christiansen, J.B. Jørgensen 
Dynamic Optimization of UV Flash Processes
T.K.S. Ritschel, A. Capolei, J.B. Jørgensen 
Risk minimization in life-cycle oil production optimization
A. Capolei, L.H. Christiansen, J.B. Jørgensen 
A least squares approach for efficient and robust short-term versus long-term production optimization
L.H. Christiansen, A. Capolei, J.B. Jørgensen 
Multiple shooting applied to robust reservoir control optimization including output constraints on coherent risk measures
A. Codas, K.G. Hanssen, B. Foss, A. Capolei, J.B. Jørgensen 
Time-Explicit Methods for Joint Economical and Geological Risk Mitigation in Production Optimization
L.H. Christiansen, A. Capolei, J.B. Jørgensen 
A Mean-Variance Objective for Robust Production Optimization in Uncertain Geological Scenarios
A. Capolei, E. Suwartadi, B. Foss, J.B. Jørgensen 
Waterflooding Optimization in Uncertain Geological Scenarios
A. Capolei, E. Suwartadi, B. Foss, J.B. Jørgensen 
High Order Adjoint Derivatives using ESDIRK Methods for Oil Reservoir Production Optimization
A. Capolei, E.H. Stenby, J.B. Jørgensen 
Oil Reservoir Production Optimization using Single Shooting and ESDIRK Methods
A. Capolei, C. Völcker, J. Frydendall, J.B. Jørgensen 
Single Shooting and ESDIRK Methods for Adjoint-Based Optimization of an Oil Reservoir
A. Capolei, C. Völcker, J. Frydendall, J.B. Jørgensen 
Oil Reservoir Production Optimization using Optimal Control
C. Völcker, J.B. Jørgensen, E.H. Stenby 
NMPC for Oil Reservoir Production Optimization
C. Völcker, J.B. Jørgensen, P.G. Thomsen, E.H. Stenby 
Adaptive Step Size Control in Implicit Runge-Kutta Methods for Reservoir Simulation
C. Völcker, J.B. Jørgensen, P.G. Thomsen, E.H. Stenby 
Explicit Singly Diagonally Implicit Runge-Kutta Methods and Adaptive Stepsize Control for Reservoir Simulation
C. Völcker, J.B. Jørgensen, P.G. Thomsen, E.H. Stenby 
Simulation of Subsurface Two-Phase Flow in an Oil Reservoir
C. Völcker, J.B. Jørgensen, P.G. Thomsen, E.H. Stenby Presentations
Oil Reservoir Management and Production Optimization
J.B. Jørgensen, C. Völcker, A. Capolei, D.M. Lerch, S.S. Hansen CERE Internal Meeting 2013
 
Computational Methods for Model Predictive Control
J.B. Jørgensen, D. Boiroux, T.G. Hovgaard, R. Halvgaard, A. Skajaa, N.F. Gade-Nielsen, L. Standardi, L.E. Sokoler, C. Völcker, A. Capolei, G. Frison, S. Schmidt, A.K. Duun-Henriksen Workshop on State-of-the-Art in Scientific and Parallel Computing (PARA 2012), Helsinki, Finland
 
Optimization based Control in the Oil and Gas Industries
J.B. Jørgensen CERE Annual Meeting 2012, Pharmakon, Hillerød, Denmark
 
Production Optimization and Reservoir Management
J.B. Jørgensen, A. Capolei, C. Völcker, D.M. Lerch, S.S. Hansen CERE Symposium, Houston, TX, USA
 
Optimisation of Oil Production in Two-Phase Flow Reservoirs using the Simultaneous Method and Interior Point Optimisers
D.M. Lerch, C. Völcker, A. Capolei, J.B. Jørgensen, E.H. Stenby 17th Nordic Process Control Workshop, Kgs Lyngby, Denmark
 
Production Optimization for Two-Phase Flow in an Oil Reservoir
C. Völcker, J.B. Jørgensen, P.G. Thomsen, E.H. Stenby 17th Nordic Process Control Workshop, Kgs Lyngby, Denmark
 
Simulation of Two-Phase Flow in an Oil Reservoir using Adaptive High-Order Runge-Kutta based Time-Integration
C. Völcker, J.B. Jørgensen, P.G. Thomsen, E.H. Stenby 15th Nordic Process Control Workshop, Porsgrunn, Telemark, Norway
 
Software for Large-Scale Nonlinear Model Predictive Control
J.B. Jørgensen SPE Applied Technology Workshop: Closed-Loop Reservoir Management, Bruges, Belgium
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