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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| Format: | Conference Paper |
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IEEE
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/43890 |
| _version_ | 1848756838829391872 |
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| author | Nimmagadda, Shastri Dreher, Heinz |
| author_facet | Nimmagadda, Shastri Dreher, Heinz |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T09:18:34Z |
| format | Conference Paper |
| id | curtin-20.500.11937-43890 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:18:34Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-438902017-09-13T13:42:26Z Ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems Nimmagadda, Shastri Dreher, Heinz data mining data warehouse seismic data ontology petroleum 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 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. 2008 Conference Paper http://hdl.handle.net/20.500.11937/43890 10.1109/DEST.2008.4635210 IEEE fulltext |
| spellingShingle | data mining data warehouse seismic data ontology petroleum ecosystems Nimmagadda, Shastri Dreher, Heinz Ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems |
| title | Ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems |
| title_full | Ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems |
| title_fullStr | Ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems |
| title_full_unstemmed | Ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems |
| title_short | Ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems |
| title_sort | ontology based data warehouse modelling - a methodology for managing petroleum field ecosystems |
| topic | data mining data warehouse seismic data ontology petroleum ecosystems |
| url | http://hdl.handle.net/20.500.11937/43890 |