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    On Knowledge-Based Design Science Information System (DSIS) for Managing the Unconventional Digital Petroleum Ecosystems

    Access Status
    In process
    Authors
    Nimmagadda, Shastri
    Date
    2018
    Type
    Conference
    
    Metadata
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    Citation
    Nimmagadda, S. 2018. On Knowledge-Based Design Science Information System (DSIS) for Managing the Unconventional Digital Petroleum Ecosystems. International Conference on Intelligent Decision Technologies.
    Source Title
    International Conference on Intelligent Decision Technologies
    DOI
    10.1007/978-3-319-92028-3_13
    Faculty
    Faculty of Business and Law
    School
    School of Management
    URI
    http://hdl.handle.net/20.500.11937/81368
    Collection
    • Curtin Research Publications
    Abstract

    The unconventional digital petroleum ecosystems are associated with fractured reservoirs that are usually unpredictable, but can produce for longer periods depending on size of petroleum systems and basins. Currently, conventional reservoirs do produce oil & gas even without integrated workflows and solutions. The heterogeneity and multidimensionality of data sources at times can make the data documentation and integration complicated affecting the exploration and field development. We examine the conventional database technologies and their failures in organizing the data of unconventional digital ecosystems. Big Data driven intelligent information system solutions are needed for addressing the issues of complex data systems of unconventional digital ecosystems. Geographically distributed petroleum systems and their associated reservoirs too demand such integrated and innovative digital ecosystem solutions. We propose an innovative design science information system (DSIS), an integrated digital framework solution to explorers, dealing with unconventional fractured reservoirs. The integrated Big Data analytics solutions are effective in interpreting unconventional digital petroleum ecosystems that are impacted by shale prospect businesses worldwide.

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      © Springer International Publishing AG, part of Springer Nature 2019. The unconventional digital petroleum ecosystems are associated with fractured reservoirs that are usually unpredictable, but can produce for longer ...
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    • Ontology based multidimensional data warehousing and mining of heterogeneous unconventional-reservoir ecosystems
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      A full understanding of many unconventional hydrocarbon resources is not possible because either there are no datasets or only incomplete or unevaluated. Some resources do not even have datasets from wells that have been ...
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