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    ER and EER data mapping approaches for integrating petroleum exploration and production business data entities for effective data mining

    Access Status
    Fulltext not available
    Authors
    Nimmagadda, Shastri
    Rudra, Amit
    Date
    2005
    Type
    Conference Paper
    
    Metadata
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    Citation
    Nimmagadda, Shastri and Rudra, Amit. 2005. : ER and EER data mapping approaches for integrating petroleum exploration and production business data entities for effective data mining, in Khalaf, Y.S. (ed), Second Kuwait International Petroleum Conference and Exhibition (KIPCE 2005), Dec 10 2005. Kuwait: KIPCE.
    Source Title
    Second Kuwait International Petroleum Conference and Exhibition (KIPCE 2005)
    Source Conference
    Second Kuwait International Petroleum Conference and Exhibition (KIPCE 2005)
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Permission to provide open access to the full text of this document is being obtained.

    During this period, access to the full text is restricted.

    Open access, where it can be provided, will be available as soon as possible.

    URI
    http://hdl.handle.net/20.500.11937/19823
    Collection
    • Curtin Research Publications
    Abstract

    Due to explosive growth of data and information, exploration and production manager's strategic planning, decision-making process, development and operational control activities have become complicated. One of the causative factors of this complexity is insufficient, improper and untimely information flow among different operational units. Exploration and production are type entities of any petroleum producing company. Data structures of petroleum exploration and production entities are often in heterogeneous form. Data integration and information sharing are key issues of petroleum exploration and production business. For the purpose of generating an integrated business data model, often, exploration, drilling, production, technical, coordination, personnel and administration; and finance and accounting are typical business entities considered for data integration. Our present study confines to exploration and production data management systems only. Though, presence of a complete petroleum system is very much warranted, but sustained petroleum production depends on the existence of reservoir qualities and their spatial extents. If any one of the elements of the petroleum system is missing, it is a mere waste of time and money to venture in those sedimentary basins. However, petroleum system is often poorly understood or inadequately integrated. Authors examine this issue with different perspective and view that integrated management of exploration and production data can seriously be handled by data warehousing technology. In this paper, an attempt is made to integrate the exploration and production data using ER (entity-relationship) and EER (extended entity-relationship) modelling approaches for warehousing purposes. The logical models illustrated in the current research, make possible, developing future implementation data models. The present study will facilitate the analysis of resources data for better understanding of data integration process in the oil and gas companies. Data warehousing will further assist us in defining better data mining models for knowledge building and thus for effective exploration operational decision-making process.

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