• DocumentCode
    2831448
  • Title

    Development of New Well Drilling Monitoring System

  • Author

    Zhang, Wei ; Bin, Hongzan ; Dai, Yongshou

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2006
  • fDate
    15-17 Dec. 2006
  • Firstpage
    75
  • Lastpage
    79
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ICIT.2006.372192
  • Filename
    4237514