Robust optimization of oil reservoir flooding

Over the recent years a variety of new developments have been introduced within the field of oil recovery, with the aim to maximize production of oil and gas from petroleum reservoirs. One of these new developments is the introduction of so-called "smart wells", which are equipped with control valves to actively control the oil production. The optimal operational strategy of these control valves can be found using a dynamic optimization procedure. However, due to geological uncertainty inherent to reservoir modelling, the mismatch between the reservoir model and the real reservoir may become considerable. As a result, a model-based optimal solution may seize to be the optimal, but will yield sub-optimal or even worse results. Within this work a robust optimization approach is presented that takes the possibly large impact of the mismatch between model and reservoir into account using a set of multiple reservoir realizations

[1]  Kwon-Hee Lee,et al.  Robust optimization considering tolerances of design variables , 2001 .

[2]  D. Bonvin,et al.  Optimization of batch reactor operation under parametric uncertainty — computational aspects , 1995 .

[3]  Nikolaos V. Sahinidis,et al.  Optimization under uncertainty: state-of-the-art and opportunities , 2004, Comput. Chem. Eng..

[4]  Roland N. Horne,et al.  A Procedure to Integrate Well Test Data, Reservoir Performance History and 4-D Seismic Information into a Reservoir Description , 1997 .

[5]  Dominique Bonvin,et al.  Dynamic optimization of batch processes: II. Role of measurements in handling uncertainty , 2003, Comput. Chem. Eng..

[6]  C. D. Kemp,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[7]  D. Rippin,et al.  Semi-batch process optimization under uncertainty: Theory and experiments , 1998 .

[8]  S. Palanki,et al.  Dynamic Optimization of Batch Processes : II . Handling Uncertainty Using Measurements , 2001 .

[9]  David G. Luenberger,et al.  Linear and Nonlinear Programming: Second Edition , 2003 .

[10]  S. Subbeya,et al.  Prediction under uncertainty in reservoir modeling , 2004 .

[11]  K. Aziz,et al.  Petroleum Reservoir Simulation , 1979 .

[12]  Jan Dirk Jansen,et al.  Dynamic Optimization of Waterflooding With Smart Wells Using Optimal Control Theory , 2004 .

[13]  Jan Dirk Jansen,et al.  Dynamic Optimization of Water Flooding with Smart Wells Using Optimal Control Theory , 2002 .

[14]  Dean S. Oliver,et al.  History Matching of Three-Phase Flow Production Data , 2001 .

[15]  J. Caers.  Interpreter's Corner—Stochastic integration of seismic data and geologic scenarios: A West Africa submarine channel saga , 2003 .