Title :
Development of New Well Drilling Monitoring System
Author :
Zhang, Wei ; Bin, Hongzan ; Dai, Yongshou
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan
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 1635 well logging have proved that this system had the characters of miniaturization, flexible configuration, and powerful function.
Keywords :
computerised monitoring; controller area networks; data acquisition; expert systems; field buses; geophysics computing; oil drilling; well logging; controller area network intelligent node; data acquisition process; field bus; flame ionization detector; gas well drilling; infrared detector; oil well drilling; rule-based logging expert system; thermo conductive detector; well drilling monitoring system; well logging; 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 :
Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
Conference_Location :
Mumbai
Print_ISBN :
1-4244-0726-5
Electronic_ISBN :
1-4244-0726-5
DOI :
10.1109/ICIT.2006.372192
