Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Ontology based multidimensional data warehousing and mining of heterogeneous unconventional-reservoir ecosystems

    Access Status
    Fulltext not available
    Authors
    Nimmagadda, Shastri
    Dreher, Heinz
    Cardona Mora, P.
    Lobo, A.
    Date
    2013
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Nimmagadda, Shastri L. and Dreher, Heinz and Cardona Mora, Paola Andrea and Lobo, Adriano. 2013. Ontology based multidimensional data warehousing and mining of heterogeneous unconventional-reservoir ecosystems, in Gomes, L. and Huebner, M. (ed), 11th International Conference on Industrual Informatics (INDIN), Jul 29-31 2013, pp. 535-540. Bochum, Germany: IEEE.
    Source Title
    Proceedings 2013 11th IEEE International Conference on Industrial Informatics
    Source Conference
    INDIN 2013
    DOI
    10.1109/INDIN.2013.6622941
    Additional URLs
    http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6622941
    ISBN
    9781479907526
    URI
    http://hdl.handle.net/20.500.11937/28718
    Collection
    • Curtin Research Publications
    Abstract

    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 drilled for exploration purposes. Specifically, unevaluated information on coal, tight gas, shale gas and gas hydrates, is delaying use of technologies that are in place in the market on a commercial scale. In addition, lack of knowledge makes the environmental impact of exploiting an unconventional resource, unpredictable. As a result of the unknowns involving exploration and development risks, productibility and recovery costs, the development of these global resources is being delayed. Evaluation and organization of data on these unconventional resources are needed for any analysis of petroleum ecosystems. As a solution, we propose a robust data-warehousing and mining approach, supported by ontology. Data from unconventional data need to be gathered in a proactive and systematic way. These multidimensional heterogeneous data can be integrated to explore unknown multiple connections among attributes of multiple dimensions of unconventional resources (from different geographic, geological and production regimes).This paper presents an attempt to make use of ontologies written for multiple dimensions to facilitate connections among unconventional petroleum ecosystems. Fine-grained data assist the data-mining procedures for forecasting, in competent and turbulent markets. Sweet spots may have been hidden in databases. The proposed methodology is robust and may be able to resolve issues associated with mining of sweet spots and uncover them from unconventional resource data warehouses and to help adapt technologies for tapping these sweet spots. If the proposed methodology is successful, it can be applied in any basin for all unconventional reservoir ecosystems present.

    Related items

    Showing items related by title, author, creator and subject.

    • On Heterogeneus, Multidimensional Unconverntional Reservoir Ecosystems
      Nimmagadda, Shastri; Dreher, Heinz; Noventianto, A.; Mustaffa, A.; Parapaty, H. (2013)
      Worldwide conventional resources are on declining trend. Alternate resources are unconventional sources. Volume of datasets exists in unconventional resources, but they are neither evaluated nor unknown. They are even ...
    • Developing completion criteria for rehabilitation areas on arid and semi-arid mine sites in Western Australia
      Brearley, Darren (2003)
      Continued expansion of the gold and nickel mining industry in Western Australia during recent years has led to disturbance of larger areas and the generation of increasing volumes of waste rock. Mine operators are obligated ...
    • Managing the Embedded Digital Ecosystems (EDE) using Big Data Paradigm
      Nimmagadda, Shastri; Rudra, Amit (2016)
      Big data sources and their mining from multitude of ecosystems have been the focus of many researchers in both commercial and research organizations. The authors in the current research have focused on embedded ecosystems ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.