Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project?
In spite of high pace of exploration activity in the Lake Albert basin, appraisal and field development become challenging in the Albertine Graben of Western Uganda. The volumes and variety of exploration data sources in these basins exist in different scales, sizes and formats in multiple dimension...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/81170 |
| _version_ | 1848764331054858240 |
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| author | Nimmagadda, Shastri Ochan, Andrew Rudra, A.M.I.T. |
| author_facet | Nimmagadda, Shastri Ochan, Andrew Rudra, A.M.I.T. |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In spite of high pace of exploration activity in the Lake Albert basin, appraisal and field development become challenging in the Albertine Graben of Western Uganda. The volumes and variety of exploration data sources in these basins exist in different scales, sizes and formats in multiple dimensions (including periodic and geographic dimensions) and domains. Modelling and integrating such unstructured data need a new direction, in particular, the data structuring, storage and retrieval. We propose Big Data tools since the data in terabyte scale in multiple domains are needed to bring them together in an upstream business.We aim at a holistic information system development, simulating Petroleum Digital Ecosystem (PDE) and Petroleum Management Information System (PMIS) articulations with data modelling, data warehousing and mining, visualization and interpretation artefacts. This approach facilitates the data management not only in the Albertine Graben but from basins of Sudan, Uganda, Kenya, Tanzania, Rwanda and Burundi in the western arm of the East African Rift System (EARS). We evaluate Big Data, exploring the connectivity among multiple oil and gas fields and their associated petroleum systems, providing new insights on data integration and management, adding values to data analytics and exploration projects in the Albertine Graben context. |
| first_indexed | 2025-11-14T11:17:39Z |
| format | Conference Paper |
| id | curtin-20.500.11937-81170 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:17:39Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-811702021-02-09T05:38:17Z Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project? Nimmagadda, Shastri Ochan, Andrew Rudra, A.M.I.T. In spite of high pace of exploration activity in the Lake Albert basin, appraisal and field development become challenging in the Albertine Graben of Western Uganda. The volumes and variety of exploration data sources in these basins exist in different scales, sizes and formats in multiple dimensions (including periodic and geographic dimensions) and domains. Modelling and integrating such unstructured data need a new direction, in particular, the data structuring, storage and retrieval. We propose Big Data tools since the data in terabyte scale in multiple domains are needed to bring them together in an upstream business.We aim at a holistic information system development, simulating Petroleum Digital Ecosystem (PDE) and Petroleum Management Information System (PMIS) articulations with data modelling, data warehousing and mining, visualization and interpretation artefacts. This approach facilitates the data management not only in the Albertine Graben but from basins of Sudan, Uganda, Kenya, Tanzania, Rwanda and Burundi in the western arm of the East African Rift System (EARS). We evaluate Big Data, exploring the connectivity among multiple oil and gas fields and their associated petroleum systems, providing new insights on data integration and management, adding values to data analytics and exploration projects in the Albertine Graben context. 2016 Conference Paper http://hdl.handle.net/20.500.11937/81170 restricted |
| spellingShingle | Nimmagadda, Shastri Ochan, Andrew Rudra, A.M.I.T. Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project? |
| title | Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project? |
| title_full | Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project? |
| title_fullStr | Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project? |
| title_full_unstemmed | Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project? |
| title_short | Are Geological and Geophysical Data of the Albertine Graben, Big Data? Are they Big in an Integrated Upstream Project? |
| title_sort | are geological and geophysical data of the albertine graben, big data? are they big in an integrated upstream project? |
| url | http://hdl.handle.net/20.500.11937/81170 |