Petro-data cluster mining - knowledge building analysis of complex petroleum systems
Large volumes of historical petroleum data are available and presently unused primarily because of lack of knowledge. Initially, conceptual data models are derived and warehoused for data mining. For this purpose, petroleum system analysis and knowledge mapping of geological structure, reservoir, w...
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers (IEEE) Computer Society
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/3419 |
| _version_ | 1848744226722938880 |
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| author | Nimmagadda, Shastri Dreher, Heinz |
| author2 | Y. Ibrahim |
| author_facet | Y. Ibrahim Nimmagadda, Shastri Dreher, Heinz |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Large volumes of historical petroleum data are available and presently unused primarily because of lack of knowledge. Initially, conceptual data models are derived and warehoused for data mining. For this purpose, petroleum system analysis and knowledge mapping of geological structure, reservoir, well andoil/gas production data are done concentrating on the key issues of geological-structure, reservoir and production data dimensions. Clustering is a data-mining tool for categorizing and analyzing groups of these data dimensions having similar attribute characteristics or properties. Using data warehousing, mining and interpretation strategies, petro-clustering is designed for understanding petroleum systems. Knowledge acquired on petroleum data clusters enhances understanding of relationships among petroleum data attributes, which can optimize economics of oil and gas exploration and development in the petroleum bearing basins. |
| first_indexed | 2025-11-14T05:58:06Z |
| format | Conference Paper |
| id | curtin-20.500.11937-3419 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:58:06Z |
| publishDate | 2009 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-34192022-12-07T06:50:51Z Petro-data cluster mining - knowledge building analysis of complex petroleum systems Nimmagadda, Shastri Dreher, Heinz Y. Ibrahim K. Jezernik CH Chakraborty Large volumes of historical petroleum data are available and presently unused primarily because of lack of knowledge. Initially, conceptual data models are derived and warehoused for data mining. For this purpose, petroleum system analysis and knowledge mapping of geological structure, reservoir, well andoil/gas production data are done concentrating on the key issues of geological-structure, reservoir and production data dimensions. Clustering is a data-mining tool for categorizing and analyzing groups of these data dimensions having similar attribute characteristics or properties. Using data warehousing, mining and interpretation strategies, petro-clustering is designed for understanding petroleum systems. Knowledge acquired on petroleum data clusters enhances understanding of relationships among petroleum data attributes, which can optimize economics of oil and gas exploration and development in the petroleum bearing basins. 2009 Conference Paper http://hdl.handle.net/20.500.11937/3419 10.1109/ICIT.2009.4939729 Institute of Electrical and Electronics Engineers (IEEE) Computer Society fulltext |
| spellingShingle | Nimmagadda, Shastri Dreher, Heinz Petro-data cluster mining - knowledge building analysis of complex petroleum systems |
| title | Petro-data cluster mining - knowledge building analysis of complex petroleum systems |
| title_full | Petro-data cluster mining - knowledge building analysis of complex petroleum systems |
| title_fullStr | Petro-data cluster mining - knowledge building analysis of complex petroleum systems |
| title_full_unstemmed | Petro-data cluster mining - knowledge building analysis of complex petroleum systems |
| title_short | Petro-data cluster mining - knowledge building analysis of complex petroleum systems |
| title_sort | petro-data cluster mining - knowledge building analysis of complex petroleum systems |
| url | http://hdl.handle.net/20.500.11937/3419 |