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    A hybrid GIS-assisted framework to integrate Dempster–Shafer theory of evidence and fuzzy sets in risk analysis: an application in hydrocarbon exploration

    Access Status
    Fulltext not available
    Authors
    Seraj, S.
    Delavar, M.R.
    Rezaee, Reza
    Date
    2021
    Type
    Journal Article
    
    Metadata
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    Citation
    Seraj, S. and Delavar, M.R. and Rezaee, R. 2021. A hybrid GIS-assisted framework to integrate Dempster–Shafer theory of evidence and fuzzy sets in risk analysis: an application in hydrocarbon exploration. Geocarto International. 36 (7): pp. 820-838.
    Source Title
    Geocarto International
    DOI
    10.1080/10106049.2019.1622602
    ISSN
    1010-6049
    Faculty
    Faculty of Science and Engineering
    School
    WASM: Minerals, Energy and Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/89584
    Collection
    • Curtin Research Publications
    Abstract

    One of the most important reasons for the existence of geologic risk during the hydrocarbon exploration process is related to uncertainties in geospatial data and models employed for data fusion. This study proposes a geospatial information system-assisted approach integrated with soft computing methods to manage spatial uncertainties during the hydrocarbon exploration process. A framework was designed to illustrate the process of calculating the geologic risk interval of each hydrocarbon structure and its estimation of uncertainties. The model enhances the geologic risk analysis of a Dempster–Shafer data-driven method by a fuzzy logic approach. The resultant hybrid method showed high predictive power with the area under the success and predictive curves being 82.2 and 75.9%, respectively. According to the results, the proposed hybrid method has improved the quality of risk analysis.

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