NDLI: On data integration workflows for an effective Management of multidimensional petroleum digital ecosystems in Arabian gulf basins

Content Provider	IEEE Xplore Digital Library
Author	Nimmagadda, S.L. Dreher, H. Nawaz, M. Laiq, K. Sabry, A. Ahmed, M.
Copyright Year	2010
Description	Author affiliation: Schlumberger, East Ahmadi, Kuwait (Nawaz, M.; Laiq, K.; Sabry, A.; Ahmed, M.) \|\| Curtin Business School - Information Systems, Curtin University, Perth, Western Australia (Nimmagadda, S.L.; Dreher, H.)
Abstract	Data integration of multiple heterogeneous datasets from multidimensional petroleum digital ecosystems is an effective way, for extracting information and adding value to knowledge domain from multiple producing onshore and offshore basins. At present, data from multiple basins are scattered and unusable for data integration, because of scale and format differences. Ontology based warehousing and mining modeling are recommended for resolving the issues of scaling and formatting of multidimensional datasets, in which case, seismic and well-domain datasets are described. Issues, such as semantics among different data dimensions and their associated attributes are also addressed by Ontology modeling. Intelligent relationships are built among several petroleum system domains (structure, reservoir, source and seal, for example) at global scale and facilitated the integration process among multiple dimensions in a data warehouse environment. For this purpose, integrated workflows are designed for capturing and modeling unknown relationships among petroleum system data attributes in interpretable knowledge domains. This study is an effective approach in mining and interpreting data views drawn from warehoused exploration and production metadata, with special reference to Arabian onshore and offshore basins
Starting Page	513
Ending Page	519
File Size	871120
Page Count	7
File Format	PDF
ISBN	9781424455515
ISSN	21504938
e-ISBN	9781424455539
DOI	10.1109/DEST.2010.5610599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-13
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	multidimensional data petroleum digital ecosystems Geology Ecosystems Ontologies Data warehouses Data models Arabian Gulf Basin Data mining data integration Petroleum
Content Type	Text
Resource Type	Article

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