On data integration workflows for an effective management of multidimensional petroleum digital ecosystems in Arabian Gulf Basins
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 unu...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/29139 |
| _version_ | 1848752724492943360 |
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| author | Nimmagadda, Shastri Dreher, Heinz Nawaz, M. Laiq, K. Sabry, A. Ahmed, M. |
| author2 | Farookh Khadeer Hussain |
| author_facet | Farookh Khadeer Hussain Nimmagadda, Shastri Dreher, Heinz Nawaz, M. Laiq, K. Sabry, A. Ahmed, M. |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:13:10Z |
| format | Conference Paper |
| id | curtin-20.500.11937-29139 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:13:10Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-291392023-01-13T07:56:32Z On data integration workflows for an effective management of multidimensional petroleum digital ecosystems in Arabian Gulf Basins Nimmagadda, Shastri Dreher, Heinz Nawaz, M. Laiq, K. Sabry, A. Ahmed, M. Farookh Khadeer Hussain Elizabeth Chang Arabian Gulf Basin multidimensional data data integration petroleum digital ecosystems 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. 2010 Conference Paper http://hdl.handle.net/20.500.11937/29139 IEEE fulltext |
| spellingShingle | Arabian Gulf Basin multidimensional data data integration petroleum digital ecosystems Nimmagadda, Shastri Dreher, Heinz Nawaz, M. Laiq, K. Sabry, A. Ahmed, M. On data integration workflows for an effective management of multidimensional petroleum digital ecosystems in Arabian Gulf Basins |
| title | On data integration workflows for an effective management of multidimensional petroleum digital ecosystems in Arabian Gulf Basins |
| title_full | On data integration workflows for an effective management of multidimensional petroleum digital ecosystems in Arabian Gulf Basins |
| title_fullStr | On data integration workflows for an effective management of multidimensional petroleum digital ecosystems in Arabian Gulf Basins |
| title_full_unstemmed | On data integration workflows for an effective management of multidimensional petroleum digital ecosystems in Arabian Gulf Basins |
| title_short | On data integration workflows for an effective management of multidimensional petroleum digital ecosystems in Arabian Gulf Basins |
| title_sort | on data integration workflows for an effective management of multidimensional petroleum digital ecosystems in arabian gulf basins |
| topic | Arabian Gulf Basin multidimensional data data integration petroleum digital ecosystems |
| url | http://hdl.handle.net/20.500.11937/29139 |