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

fYear

2009

Firstpage

668

Lastpage

673

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/DEST.2009.5276758

Filename

5276758