Petro-data cluster mining - knowledge building analysis of complex petroleum systems
dc.contributor.author | Nimmagadda, Shastri | |
dc.contributor.author | Dreher, Heinz | |
dc.contributor.editor | Y. Ibrahim | |
dc.contributor.editor | K. Jezernik | |
dc.contributor.editor | CH Chakraborty | |
dc.date.accessioned | 2017-01-30T10:30:58Z | |
dc.date.available | 2017-01-30T10:30:58Z | |
dc.date.created | 2009-06-30T20:01:29Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Nimmagadda, Shastri and Dreher, Heinz. 2009. Petro-data cluster mining - knowledge building analysis of complex petroleum systems, in Ibrahim, Y. and Jezernik, K. and Chakraborty, Ch. (ed), 2009 IEEE International Conference on Industrial Technology, Feb 10 2009, pp. 1473-1480. Monash University, Gippsland, Victoria, Australia: Institute of Electrical and Electronics Engineers (IEEE) Computer Society. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/3419 | |
dc.identifier.doi | 10.1109/ICIT.2009.4939729 | |
dc.description.abstract |
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. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) Computer Society | |
dc.title | Petro-data cluster mining - knowledge building analysis of complex petroleum systems | |
dc.type | Conference Paper | |
dcterms.source.startPage | 1473 | |
dcterms.source.endPage | 1480 | |
dcterms.source.title | Proceedings of 2009 IEEE International Conference on Industrial Technology | |
dcterms.source.series | Proceedings of 2009 IEEE International Conference on Industrial Technology | |
dcterms.source.isbn | 9781424435074 | |
dcterms.source.conference | IEEE International Conference on Industrial Technology. ICIT 2009 | |
dcterms.source.conference-start-date | 10 Feb 2009 | |
dcterms.source.conferencelocation | Monash University, Gippsland, Victoria, Australia | |
dcterms.source.place | Los Alamitos, CA: USA | |
curtin.note |
Copyright © 2009 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
curtin.department | School of Information Systems | |
curtin.accessStatus | Open access | |
curtin.faculty | School of information Systems | |
curtin.faculty | Curtin Business School |