作者: Yang Qing , David Davies
DOI: 10.1109/ICIEA.2011.5975927
关键词: Oil well 、 Noise (signal processing) 、 Model predictive control 、 Production (economics) 、 Control valves 、 Engineering 、 Robustness (computer science) 、 Control theory 、 Control engineering 、 Inflow 、 Outlier
摘要: The implementation of intelligent well technology into the petroleum production industry provides, for first time, opportunity to apply advanced control algorithms at or reservoir zone level. An “Intelligent” “Smart” is a equipped with multiple, downhole chokes Inflow Control Valves (ICVs) as downhole, real-time, data measurements of, example, pressure, temperature and flow rate specific point within well. This paper applies Generalized Predictive (GPC) ICVs automatic regulation pressure specified value system. A multi-zone, horizontal, case study shows that GPC works efficiently. robustness technique was illustrated when noise and/or outliers were introduced output data.