Title :
A New Well Drilling Monitoring System Based on Field Bus and Expert System
Author :
Zhang, Wei ; Bin, Hongzan ; Dai, Yongshou
Author_Institution :
Sch. of Mech. Sci. & Eng., Huazhong Univ. of Sci. & Technol.
Abstract :
This paper presents a novel monitoring system for oil and gas well drilling based on field bus and AI technology. The controller area network (CAN) intelligent node was designed to simplify the data acquisition process. As a key part, the traditional thermo conductive detector (TCD) and flame ionization detector (FID) were replaced by the infrared detector which contributed greatly to reduce the size of gas monitoring module. A rule-based logging expert system was also designed to improve the drilling operation. The results of well logging have proved that this system had the characters of miniaturization, flexible configuration, and powerful function
Keywords :
controller area networks; data acquisition; expert systems; field buses; infrared detectors; natural gas technology; oil drilling; process monitoring; production engineering computing; well logging; controller area network; data acquisition process; expert system; field bus; flame ionization detector; gas monitoring module; gas well drilling monitoring; infrared detector; oil well drilling monitoring; rule-based logging expert system; thermo conductive detector; Artificial intelligence; Data acquisition; Drilling; Expert systems; Fires; Infrared detectors; Intelligent networks; Ionization; Monitoring; Petroleum; CAN-bus; expert system; gas detector; infrared detector; well drilling;
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
DOI :
10.1109/ICMA.2006.257450
