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dc.contributor.authorNimmagadda, Shastri
dc.contributor.authorDreher, Heinz
dc.contributor.editorY. Ibrahim
dc.contributor.editorK. Jezernik
dc.contributor.editorCH Chakraborty
dc.identifier.citationNimmagadda, 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.

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.publisherInstitute of Electrical and Electronics Engineers (IEEE) Computer Society
dc.titlePetro-data cluster mining - knowledge building analysis of complex petroleum systems
dc.typeConference Paper
dcterms.source.titleProceedings of 2009 IEEE International Conference on Industrial Technology
dcterms.source.seriesProceedings of 2009 IEEE International Conference on Industrial Technology
dcterms.source.conferenceIEEE International Conference on Industrial Technology. ICIT 2009
dcterms.source.conference-start-date10 Feb 2009
dcterms.source.conferencelocationMonash University, Gippsland, Victoria, Australia
dcterms.source.placeLos Alamitos, CA: USA

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curtin.departmentSchool of Information Systems
curtin.accessStatusOpen access
curtin.facultySchool of information Systems
curtin.facultyCurtin Business School

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