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    Predicting bubble-point pressure and formation-volume factor of Nigerian crude oil system for environmental sustainability

    Access Status
    Fulltext not available
    Authors
    Obanijesu, Emmanuel
    Araromi, D.
    Date
    2008
    Type
    Journal Article
    
    Metadata
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    Citation
    Obanijesu, E. and Araromi, D. 2008. Predicting bubble-point pressure and formation-volume factor of Nigerian crude oil system for environmental sustainability. Petroleum Science and Technology. 26 (17): pp. 1993-2008.
    Source Title
    Petroleum Science and Technology
    DOI
    10.1080/10916460701399493
    ISSN
    1091-6466
    School
    Department of Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/6660
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a model for predicting the bubble-point pressure (Pb) and oil formation-volume-factor at bubble-point (Bob) for crude samples collected from some producing wells in the Niger-Delta region of Nigeria. The model was developed using artificial neural networks with 542 experimentally obtained Pressure-Volume-Temperature (PVT) data sets. The model accurately predicts the Pb and Bob as functions of the solution gas-oil ratio, the gas relative density, the oil specific gravity, and the reservoir temperature. In order to obtain a generalized accurate model, backpropagation with momentum for error minimization was used. The accuracy of the developed model in this study was compared with some published correlations. Apart from its accuracy, this model takes a shorter time to predict the PVT properties when compared with empirical correlations. The immediate reason for this may have to do with the non-linear nature of the empirical correlations.

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