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CDC
2010
IEEE

Integrated dynamic optimization and control in reservoir engineering using locally identified linear models

8 years 7 months ago
Integrated dynamic optimization and control in reservoir engineering using locally identified linear models
Abstract-- Studies on dynamic real-time optimization (DRTO) of waterflooding strategies in petroleum reservoirs have demonstrated that there exists a large potential to improve economic performance in oil recovery. Unfortunately, the used large-scale, nonlinear, physics-based reservoir models suffer from vast parametric uncertainty and generally poor short-term predictions. This seriously limits the industrial and economic feasibility of a production strategy based at long-term economic objectives alone. In this work, a two level optimization and control strategy is investigated, consisting of a D-RTO and model predictive control (MPC) level. In this structure, longterm economic performance is addressed by the design of optimal reference trajectories, while reliability of reaching these long-term goals is managed through a short-term tracking control problem, based on locally identified linear models.
Gijs van Essen, Amin Rezapour, Paul M. J. Van den
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where CDC
Authors Gijs van Essen, Amin Rezapour, Paul M. J. Van den Hof, Jan Dirk Jansen
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