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    Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project?

    Access Status
    Fulltext not available
    Authors
    Nimmagadda, Shastri
    Ochan, Andrew
    Rudra, A.M.I.T.
    Date
    2016
    Type
    Conference Paper
    
    Metadata
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    Citation
    Nimmagadda, S. and Ochan, A. and Rudra, A.M.I.T. 2016. Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project? In: Proceedings of the Second EAGE Eastern Africa Petroleum Geoscience Forum, 22-24 Nov 2016, Kampala, Uganda.
    Faculty
    Faculty of Business and Law
    School
    School of Management
    URI
    http://hdl.handle.net/20.500.11937/81170
    Collection
    • Curtin Research Publications
    Abstract

    In spite of high pace of exploration activity in the Lake Albert basin, appraisal and field development become challenging in the Albertine Graben of Western Uganda. The volumes and variety of exploration data sources in these basins exist in different scales, sizes and formats in multiple dimensions (including periodic and geographic dimensions) and domains. Modelling and integrating such unstructured data need a new direction, in particular, the data structuring, storage and retrieval. We propose Big Data tools since the data in terabyte scale in multiple domains are needed to bring them together in an upstream business.We aim at a holistic information system development, simulating Petroleum Digital Ecosystem (PDE) and Petroleum Management Information System (PMIS) articulations with data modelling, data warehousing and mining, visualization and interpretation artefacts. This approach facilitates the data management not only in the Albertine Graben but from basins of Sudan, Uganda, Kenya, Tanzania, Rwanda and Burundi in the western arm of the East African Rift System (EARS). We evaluate Big Data, exploring the connectivity among multiple oil and gas fields and their associated petroleum systems, providing new insights on data integration and management, adding values to data analytics and exploration projects in the Albertine Graben context.

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