Title :
On designing multidimensional oil and gas business data structures for effective data warehousing and mining
Author :
Nimmagadda, Shastri L. ; Dreher, Heinz
Author_Institution :
Schlumberger Oilfield Eastern Ltd., East Ahmadi, Kuwait
Abstract :
Incomplete, improper and untimely information flow among operational units makes operations untidy and slow. Representing petroleum business data in multidimensional data structuring in a data warehousing environment is a solution for a manager´s strategic planning, and operational management. Conceptual multidimensional-relational (MR) and EMR (extended multidimensional-relationships) data mapping approaches are proposed for key exploration industry data management. These conceptual models facilitate in developing future implementation data models and help an exploration data analyst, for better understanding of data integration and effective data mining.
Keywords :
data mining; data models; data structures; data warehouses; gas industry; petroleum industry; strategic planning; conceptual multidimensional-relational; data integration; data mapping; data mining; data model; data structure; data warehousing; extended multidimensional-relationship; industry data management; multidimensional oil-and-gas business data; operational management; strategic planning; Companies; Data mining; Data models; Data structures; Electronic mail; Gas industry; Management information systems; Multidimensional systems; Petroleum; Warehousing; Exploration industry; business data dimensions; extended multidimensional data modelling; multidimensional;
Conference_Titel :
Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2345-3
Electronic_ISBN :
978-1-4244-2346-0
DOI :
10.1109/DEST.2009.5276758
