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Ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems

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Open access
Authors
Nimmagadda, Shastri
Dreher, Heinz
Date
2008
Type
Conference Paper

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Nimmagadda, Shastri and Dreher, Heinz. 2008. : Ontology based data warehouse modelling-a methodology for managing petroleum field ecosystems, in Chang, Elizabeth and Hussain, Farookh Khadeer (ed), Second IEEE international conference on digital ecosystems and technologies (IEEE DEST 2008), 26 Feb 2008, pp. 221-228. Phitsanulok, Thailand: IEEE.
Source Title
Second IEEE international conference on digital ecosystems and technologies (IEEE DEST 2008)
Source Conference
Second IEEE international conference on digital ecosystems and technologies (IEEE DEST 2008)
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Faculty
Curtin Business School
School of Information Systems
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Copyright 2008 IEEE

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Abstract

Petroleum field ecosystems offer an interesting and productive domain for ontology based data warehousing model and methodology development. This paper explains the opportunities and challenges confronting modellers, methodologists, and managers operating in the petroleum business and provides some detailed techniques and suggested methods for constructing and using the ontology based warehouse.Ecologically sensitive operations such as well drilling, well production, exploration, and reservoir development can be guided and carefully planned based on data mined from a suitable constructed data warehouse. Derivation of business intelligence, simulations and vizualisation can also be driven by online analytical processing based on warehoused data and metadata.