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    Visualization as a big data artefact for knowledge interpretation of digital petroleum ecosystems

    Access Status
    Fulltext not available
    Authors
    Nimmagadda, Shastri
    Rudra, A.
    Date
    2016
    Type
    Conference Paper
    
    Metadata
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    Citation
    Nimmagadda, S. and Rudra, A. 2016. Visualization as a big data artefact for knowledge interpretation of digital petroleum ecosystems, pp. 34-43.
    Source Title
    International series on information systems and management in creative eMedia
    ISBN
    9781510800168
    School
    School of Information Systems
    URI
    http://hdl.handle.net/20.500.11937/56412
    Collection
    • Curtin Research Publications
    Abstract

    In the current upstream business environment, we examine the risk involved in the petroleum exploration and field development. Many sedimentary basins worldwide possess hundreds of petroleum systems with thousands of oil and gas fields, geographically scattered. A significant amount of unstructured heterogeneous and multidimensional data are locked up in many industrial applications and knowledge domains. Our objective is to bring the relevant data together, integrate and visualize for adding values to the existing interpretation. We simulate a Big Data guided digital petroleum ecosystem (DPE) approach, a digital oil field solution, a new direction in the analysis of a total petroleum system (TPS), in which multiple sedimentary basins may have been grouped, inheriting an interconnectivity between the systems. The DPE is articulated in a framework, organizing variety of data associated with the elements and processes of complex petroleum systems and integrating their data dimensions and attributes. We develop an ontology based data warehousing and mining artefacts. We present warehoused metadata, with slicing and dicing of data views for visualization of new prospects in the investigating area. We further investigate the risk of exploratory drilling campaigns and how the integrated framework, with visualization and interpretation artefacts can holistically support the delivery of high-quality products and services.

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