(612h) Closed-Loop Integration of Scheduling and Offset-Free Model Predictive Control of Hydraulic Fracturing
AIChE Annual Meeting
Thursday, November 11, 2021 - 2:43pm to 3:02pm
Motivated by these considerations, we developed an integrated model to simultaneously consider the scheduling and control of hydraulic fracturing operations for the development of a set of wellpads. Particularly, a reduced-order model is developed based on high-fidelity simulation data and integrated with the scheduling model to reduce the model complexity. The linking variables are the amounts of freshwater required and shale gas forecasted at the wellpads. Then, to cope with the plant-model mismatch of the reduced-order model, we proposed an online integrated framework with two feedback loops. Specifically, in the outer loop, the integrated model is solved to determine the scheduling decisions and controller references. The obtained references are transferred to the inner loop, where a Kalman filter is utilized for state estimation and an offset-free model predictive control system is designed to track the references with enhanced performance while compensating for the plant-model mismatch. After the online control system is solved, the actual operation information is provided as the feedback to the outer loop for re-solving the integrated problem. To illustrate the effectiveness of the proposed framework, a hypothetical case study based on Marcellus Shale Play is considered. It shows that with the offset-free MPC, the undesirable performance degradation induced by the plant-model mismatch can be removed and the online implementation of the proposed framework can be further facilitated.
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