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    Extended composite table algorithm for optimal planning of unconventional gas field development

    257614.pdf (1.162Mb)
    Access Status
    Open access
    Authors
    Parand, Reza
    Foo, D.
    Ooi, R.
    Tan, R.
    Lee, J.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Parand, R. and Foo, D. and Ooi, R. and Tan, R. and Lee, J. 2017. Extended composite table algorithm for optimal planning of unconventional gas field development. Chemical Engineering Transactions. 61: pp. 1891-1896.
    Source Title
    Chemical Engineering Transactions
    DOI
    10.3303/CET1761313
    ISSN
    2283-9216
    School
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/59222
    Collection
    • Curtin Research Publications
    Abstract

    Lately, there has been an increase in utilization of natural gas, as a relatively clean fossil fuel in place of coal as we move towards the use of low-carbon energy sources. As a result, there is a need to recover natural gas from high concentration carbon dioxide (CO 2 ) gas fields which have been regarded as uneconomical to be developed previously. In such cases, naturally occurring CO 2 needs to be separated from natural gas or reduced to a lower content to meet sales gas specifications and utilization for power generation. Meanwhile, the separated CO 2 needs to be disposed or utilized efficiently for consumption by various processes. In this work, we develop a variant of the composite table algorithm to be applied in the planning of field development involving high CO 2 gas field, often considered as unconventional resources. This methodology is superior to previously developed graphical approach as the model is able to solve more generic cases without imposing strict assumptions on stream purity requirements. The methodology is illustrated using case studies such as those demonstrated in the paper.

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