• DocumentCode
    410556
  • Title

    Spatial integration of geological datasets for predictive hydrocarbon studies in Murzuq basin, SW Libya

  • Author

    Zargani, S.S. ; Vaughan, R.A. ; Missallati, A.A.

  • Author_Institution
    Dept. of Electron. Eng. & Phys., Dundee Univ., UK
  • Volume
    2
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    991
  • Abstract
    This paper aims to integrate available geological information in the Murzuq basin to predict the geological factors which may indicate the existence of hydrocarbons and to delineate regions of high potential for more investigation. A prior probability of hydrocarbon occurrence was estimated from past exploration and updated by combining the geological factors which control the occurrence of petroleum. Each factor represent as evidence map, which classified to binary map by calculating a weight for the pattern present (W+) and a weight for the pattern absent W-). The contrast, C = W+-W-, gives a measure of the spatial relationship between the occurrence of petroleum accumulations and binary maps. The statistical analysis helps to determine, for each evidence factor, the statistically significant spatial relationship with petroleum accumulations in the study area.
  • Keywords
    data analysis; geochemistry; geographic information systems; GIS; Murzuq basin; Southwest Libya; binary map; geographic information systems; geological information; hydrocarbon exploration; pattern absent; pattern present; petroleum accumulations; spatial integration; spatial statistical models; statistical analysis; Data engineering; Geographic Information Systems; Geologic measurements; Geology; Hydrocarbons; Image databases; Petroleum; Physics; Spatial databases; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1293988
  • Filename
    1293988