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    Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow

    Elkahky S 2021.pdf (6.066Mb)
    Access Status
    Open access
    Authors
    Elkahky, Sherif
    Date
    2021
    Supervisor
    Ahmed Barifcani
    Christopher Lagat
    Mohammad Sarmadivaleh
    Type
    Thesis
    Award
    MPhil
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    WASM: Minerals, Energy and Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/82656
    Collection
    • Curtin Theses
    Abstract

    A novel approach to asphaltenes precipitation and deposition prediction and forecast, applied multiple methods including innovative numerical modeling within multiphase flow. Furthermore, modeled the effect of CO2 injection on asphaltenes precipitation during enhanced oil recovery within the reservoir and wellbore. The parametric effect on asphaltenes deposition of crude oil was modeled and evaluated against previous experimental values. The numerical models and simulations were in good agreement with the steady-state solution of the asphaltenes onset curve.

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