(184g) Simultaneous Uncertainty Reduction and Control of Hydraulic Fracturing
In this work, we explore the idea of using a controller for the purpose of simultaneous uncertainty reduction and set-point tracking of a nonlinear hydraulic fracturing process. More specifically, we propose to design a model-based feedback control system that will help in accurately identifying the spatially varying geological properties by reducing the measurement uncertainty, while at the same time accomplishing the original control tasks. Here, the objective function fed to the controller consists of both the estimation error covariance (uncertainty reduction) as well as the deviation from the desired target value (set-point tracking). The proposed closed-loop system is applied to a simulated model of a hydraulic fracturing process with synthetic spatially varying geological parameters.
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