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

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...

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Bibliographic Details
Main Authors: Nimmagadda, Shastri, Dreher, Heinz
Format: Conference Paper
Published: IEEE 2008
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/43890
Description
Summary: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.