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    Formation water geochemistry for carbonate reservoirs in Ordos basin, China: Implications for hydrocarbon preservation by machine learning

    Access Status
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    Authors
    Yu, Hongyan
    Wang, Z.
    Rezaee, Reza
    Zhang, Y.
    Nwidee, Lezorgia N.
    Liu, X.
    Verrall, M.
    Iglauer, Stefan
    Date
    2020
    Type
    Journal Article
    
    Metadata
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    Citation
    Yu, H. and Wang, Z. and Rezaee, R. and Zhang, Y. and Nwidee, L.N. and Liu, X. and Verrall, M. et al. 2020. Formation water geochemistry for carbonate reservoirs in Ordos basin, China: Implications for hydrocarbon preservation by machine learning. Journal of Petroleum Science and Engineering. 185: ARTN 106673.
    Source Title
    Journal of Petroleum Science and Engineering
    DOI
    10.1016/j.petrol.2019.106673
    ISSN
    0920-4105
    Faculty
    Faculty of Science and Engineering
    School
    WASM: Minerals, Energy and Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/89580
    Collection
    • Curtin Research Publications
    Abstract

    Formation water can in principal be used to identify hydrocarbon reserves. One such potential reserves are the gas reservoirs in the Ordos basin in China. However, there is limited data for this basin; we thus investigated the geochemical properties of a large range of formation water acquired from the Ordovician in the Ordos basin (42 brine samples obtained from different wells at M5 member) and analyzed their chemical characteristics. The results showed that this formation water is associated with a sealed reservoir, which is good for hydrocarbon storage. This is also related to the demonstrated strong diagenetic transformations. We also proposed statistical relationships between these geochemical properties and hydrocarbon storage based on a machine learning method (Decision tree). The results suggest that the salinity, Na+/Cl− ratio, (Cl−-Na+)/Mg2+ ratio, (HCO3−-CO32-)/Ca2+ ratio and Mg2+/Ca2+ ratio highly correlate with the gas preservation. The results thus provide drastically more accurate predictions in terms of where to find gas reservoirs in the Ordos basin, and can thus lead to significantly better exploitation of these resources.

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