关键词：数据监控；数据采集；系统设计；石油采收
摘 要：Supervisory control and data acquisition (SCADA) are essential for oil eld operations. Currently available SCADA systems often do not incorporate recent technological advances that allow ecient network administration, over-the-air (OTA) programmability, and easy scalability to thousands of locations. Additionally, today's SCADA systems are not cost-e ective for wells with low production rates such as CO2 enhanced oil recovery (EOR). This paper proposes a SCADA system design that is based on a popular hybrid single-board computer. The controller is connected to a local wireless Ethernet/IP network with a secure IP-addressable radio and subsequently to the corporate intranet at the eld central processing facility. The hybrid acts as a powerful and low-cost core for the controller. It is programmable in Python, and it is exible, with provisions for digital outputs and most sensor inputs, as well as wireless sensor connections over Wi-Fi or Xbee radio standards. Sensor data are acquired and processed prior to being uploaded to a central database. To access the wellhead data, users log into a web-based graphical user interface (GUI). Similarly, the network structure allows users with proper permissions to send commands to, reprogram, and access the le system of individual controllers. Furthermore, the system applies an optimized control algorithm for sucker-rod pumps based on the Everitt-Jennings algorithm[1]. A prototype unit was deployed in a North Dakota oil eld with a total material cost of less than $1000. The system has applications in the oil eld beyond arti cial lift control and wellhead sensing. With appropriate programming, the same hardware can be used for tank level monitoring, process condition monitoring, and alarming. The high level of control and programmability allows for ecient responses to dynamic oil eld conditions.