Publication: Research - peer-review › Article in proceedings – Annual report year: 2011
In this paper, we use nonlinear model predictive control (NMPC) to maximize secondary oil recovery from an oil reservoir by controlling two-phase subsurface porous flow using adjustable down-hole control valves. The resulting optimal control problem is nonlinear and large-scale. We solve this problem numerically using a single shooting sequential quadratic programming (SQP) based optimization method. Explicit singly diagonally implicit Runge-Kutta (ESDIRK) methods are used for integration of the stiff system of differential equations describing the two-phase flow, and the adjoint method is used for sensitivity computations. We report computational experiences and oil recovery improvements for a standard test case.
|Title||21st European Symposium on Computer Aided Process Engineering|
|Number of pages||2029|
|Conference||21st European Symposium on Computer Aided Process Engineering|
|Period||29/05/11 → 01/06/11|
|Name||Computer Aided Chemical Engineering|
|Citations||Web of Science® Times Cited: No match on DOI|
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