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    On Big Data guided Unconventional Digital Ecosystems and their Knowledge Management

    Access Status
    Open access via publisher
    Authors
    Nimmagadda, Shastri
    Reiners, Torsten
    Wood, Lincoln
    Zhu, Dengya
    Date
    2019
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Nimmagadda, S. and Reiners, T. and Wood, L.C. and Zhu, D. 2019. On Big Data guided Unconventional Digital Ecosystems and their Knowledge Management, in Proceedings of the Twenty-Third Pacific Asia Conference of Information Systems (PACIS), Jul 8-12 2019. Xi’an, China: AIS.
    Source Title
    Proceedings of the 23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019
    Source Conference
    Pacific-Asian Conference of Information Systems (PACIS)
    Additional URLs
    https://aisel.aisnet.org/pacis2019/7
    Faculty
    Faculty of Business and Law
    School
    School of Management
    URI
    http://hdl.handle.net/20.500.11937/81146
    Collection
    • Curtin Research Publications
    Abstract

    © Proceedings of the 23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019. Establishing the reservoir connections is paramount in exploration and exploitation of unconventional petroleum systems and their reservoirs. In Big Data scale, multiple petroleum systems hold volumes and varieties of data sources. The connectivity between petroleum reservoirs and their existence in a single petroleum ecosystem is often ambiguously interpreted. They are heterogeneous and unstructured in multiple domains. They need better data integration methods to interpret the interplay between elements and processes of petroleum systems. Large-scale infrastructure is needed to build data relationships between different petroleum systems. The purpose of the research is to establish the connectivity between petroleum systems through resource data management and visual analytics. We articulate a Design Science Information System (DSIS) approach, bringing various artefacts together from multiple domains of petroleum provinces. The DSIS emerges as a knowledge-based digital ecosystem innovation, justifying its need, connecting geographically controlled petroleum systems and building knowledge of oil and gas prospects.

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