• DocumentCode
    2678911
  • Title

    Applying data mining to the geosciences data

  • Author

    Bao, Feng ; He, Xu ; Zhao, Fengzhi

  • Author_Institution
    Center of Comput., Northeast Pet. Univ., Qinhuangdao, China
  • Volume
    5
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    The article detailedly addresses the features of the petrophysical data, logging data, seismic data and geological data based on the concepts of the data mining. The mining ideas regarding the petrophysical and logging data, seismic data and geological data are made based on their features. The article uses different mining ways to process the corresponding data, and describes the results from the perspective of the functions of data mining. According to the data mining techniques, the petrophysical data are applied to find the relations and forecast reservoirs; the logging data will be employed to evaluate the fuzzy reservoirs and recognize the effective reservoirs in complicated geological conditions; the space mining results of the 3D seismic data; the charts and text mining results of the geological data. The oil and natural gas data mining in the exploration adopts the methods of data analysis and the corresponding mathematical model to process the exploration data, and get the potential information. It has realized the purpose that the data guide exploration and given the concept of data exploration.
  • Keywords
    data analysis; data mining; geophysics computing; text analysis; 3D seismic data; data analysis; data mining; fuzzy reservoirs; geological data; geosciences data; logging data; petrophysical data; seismic data; text mining; Geology; Production; data exploration; data mining; geological data; logging data; petrophysical data; seismic data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5609971
  • Filename
    5609971