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Mapping and modeling of oil and gas relational data objects for warehouse development and efficient data mining

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Open access
Authors
Nimmagadda, Shastri
Dreher, Heinz
Date
2006
Type
Conference Paper

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Nimmagadda, Shastri and Dreher, Heinz. 2006. : Mapping and modeling of oil and gas relational data objects for warehouse development and efficient data mining, International IEEE Conference on Industrial Informatics (INDIN), Aug 16 2006, pp. 1201-1206. Singapore: IEEE Computer Society Press.
Source Title
Proceedings of the 4th International IEEE Conference on Industrial Informatics (INDIN)
Source Conference
International IEEE Conference on Industrial Informatics (INDIN)
DOI
Faculty
Curtin Business School
School
Centre for Extended Enterprises and Business Intelligence
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Copyright 2006 IEEE

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Abstract

Oil and gas industries archive volumes of heterogeneous data. These companies, by virtue of their diverse operations, comprise of complicated organizational structure. The nature of organizational set-up with several operational units, often results with communication barriers among operational units. In order to effectively and efficiently perform oil and gas company's business activities, the flow of data and information must be consistent and sharing among its units. In order to improve information sharing among oil and gas company's personnel, heterogeneous data from various sources are integrated. Data warehouse is a solution, in which, oil and gas data entities, identified as class objects, are used for multidimensional modeling. Relational data structures constructed using these class objects, are stored in a warehousing environment to minimize the complexity of heterogeneous data and enhances power of data integration and information sharing among different operational units.