Petro-data cluster mining - knowledge building analysis of complex petroleum systems
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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.
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Nimmagadda, Shastri ; Dreher, Heinz; Noventianto, Andy; Mustafa, A.; Fiume, G. (2012)Petroleum system and its elements are often narrated for each and every oil and gas field in each and every petroleum-bearing sedimentary basin. Petroleum-bearing sedimentary basin is an emerging ...
Nimmagadda, Shastri; Noventianto, A.; Dreher, Heinz; Mustoffa, A.; Halley, P. (2013)Existence of petroleum system and its elements is often narrated for each oil and gas field and for each petroleum-bearing sedimentary basin. Sedimentary basin is an emerging digital ecosystem within a generic petroleum ...
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