Sedimentary Basin - a Petroleum Digital Ecosystem
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 system. On the broader scale, total petroleum system (TPS, where geology has no...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/40558 |
| _version_ | 1848755903892815872 |
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| author | Nimmagadda, Shastri Noventianto, A. Dreher, Heinz Mustoffa, A. Halley, P. |
| author2 | Luis Gomes |
| author_facet | Luis Gomes Nimmagadda, Shastri Noventianto, A. Dreher, Heinz Mustoffa, A. Halley, P. |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 system. On the broader scale, total petroleum system (TPS, where geology has no boundaries) can virtually be envisaged as a digital petroleum ecosystem. The significance of this concept lies in connecting onshore and offshore petroleum subsystems, in a basin (e.g., Indonesian Onshore-Offshore basin, a 19,300 mi2 [50,000 -km2] transition zone), through elements and process attributes and by modeling sub-basins thru contextualization and specification concepts. In this paper, we present an ontology based data warehousing and mining technology in which, conceptualization and contextualization of multiple data dimensions are modeled within a sedimentary basin (e.g., elements and processes of all petroleum systems, existing within basin). In addition to their integration within a data warehouse environment, data mining and visualization of interpretable data views that emerge from petroleum digital ecosystems are made feasible. Multidimensional data warehousing and mining models facilitate an effective interpretation of petroleum ecosystems, minimizing the ambiguities involved during knowledge mapping of geological structure and reservoir qualities - not only for exploration and field development planning, but also for reserve estimations. |
| first_indexed | 2025-11-14T09:03:42Z |
| format | Conference Paper |
| id | curtin-20.500.11937-40558 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:03:42Z |
| publishDate | 2013 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-405582023-02-13T08:01:34Z Sedimentary Basin - a Petroleum Digital Ecosystem Nimmagadda, Shastri Noventianto, A. Dreher, Heinz Mustoffa, A. Halley, P. Luis Gomes Michael Huebner sedimentary basins data mining data warehousing petroleum systems ontology 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 system. On the broader scale, total petroleum system (TPS, where geology has no boundaries) can virtually be envisaged as a digital petroleum ecosystem. The significance of this concept lies in connecting onshore and offshore petroleum subsystems, in a basin (e.g., Indonesian Onshore-Offshore basin, a 19,300 mi2 [50,000 -km2] transition zone), through elements and process attributes and by modeling sub-basins thru contextualization and specification concepts. In this paper, we present an ontology based data warehousing and mining technology in which, conceptualization and contextualization of multiple data dimensions are modeled within a sedimentary basin (e.g., elements and processes of all petroleum systems, existing within basin). In addition to their integration within a data warehouse environment, data mining and visualization of interpretable data views that emerge from petroleum digital ecosystems are made feasible. Multidimensional data warehousing and mining models facilitate an effective interpretation of petroleum ecosystems, minimizing the ambiguities involved during knowledge mapping of geological structure and reservoir qualities - not only for exploration and field development planning, but also for reserve estimations. 2013 Conference Paper http://hdl.handle.net/20.500.11937/40558 10.1109/INDIN.2013.6622942 IEEE restricted |
| spellingShingle | sedimentary basins data mining data warehousing petroleum systems ontology Nimmagadda, Shastri Noventianto, A. Dreher, Heinz Mustoffa, A. Halley, P. Sedimentary Basin - a Petroleum Digital Ecosystem |
| title | Sedimentary Basin - a Petroleum Digital Ecosystem |
| title_full | Sedimentary Basin - a Petroleum Digital Ecosystem |
| title_fullStr | Sedimentary Basin - a Petroleum Digital Ecosystem |
| title_full_unstemmed | Sedimentary Basin - a Petroleum Digital Ecosystem |
| title_short | Sedimentary Basin - a Petroleum Digital Ecosystem |
| title_sort | sedimentary basin - a petroleum digital ecosystem |
| topic | sedimentary basins data mining data warehousing petroleum systems ontology |
| url | http://hdl.handle.net/20.500.11937/40558 |