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    Multidimentional Data Warehousing and mining - an Approach for Managing Multiple Reservoir Ecosystems

    Access Status
    Fulltext not available
    Authors
    Nimmagadda, Shastri
    Dreher, Heinz
    Shtukert, O.
    Zolotoi, N.
    Date
    2013
    Type
    Conference Paper
    
    Metadata
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    Citation
    Nimmagadda, Shastri L. and Dreher, Heinz V. and Shtukert, Olga and Zolotoi, Nikita. 2013. Multidimentional Data Warehousing and mining - an Approach for Managing Multiple Reservoir Ecosystems, in Gomes, L. and Huebner, M. (ed), 11th International Conference on Industrial Informatics (INDIN), Jul 29-31 2013, pp. 529-534. Bochum, Germany: IEEE.
    Source Title
    Proceedings 2013 11th IEEE International Conference on Industrial Informatics (INDIN)
    Source Conference
    INDIN 2013
    DOI
    10.1109/INDIN.2013.6622940
    ISBN
    9781479907526
    URI
    http://hdl.handle.net/20.500.11937/35809
    Collection
    • Curtin Research Publications
    Abstract

    Many sedimentary basins comprise of numerous oil and gas fields. Each field has multiple oil and gas producing wells and each drilled well has multiple reservoir pay zones, with each pay zone having different fluids - either oil or gas and both. From a sedimentary basin scale, a super-type dimension is distinguished into its atomic and non-divisible dimensions, such as reservoir and structure. In database terminology, cardinality is representative of the set of elements-, and attributes and their relationships. Here, each element is interpreted as a dimension, narration of multiple dimensions for multiple elements within the context of a petroleum ecosystem. Ontology based cardinalities are described for designing constraints and business rules among multidimensional data models, to maintain integrity and consistency of the cardinalities. For the purpose of analyzing petroleum ecosystem and its reservoir connectivity, ontologies based cardinalities are described. Though sedimentary-basin ontology narrates, connectivity among structures, reservoirs, seals, source and other processes, such as migration and timing of occurrence or existence of these elements, but we focus on an approach exploring connections among multiple reservoirs and traps within a petroleum ecosystem. This approach minimizes the ambiguity during interpretation and management of reservoir ecosystems' limits or boundaries.

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