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dc.contributor.authorNimmagadda, Shastri
dc.contributor.authorNoventianto, A.
dc.contributor.authorDreher, Heinz
dc.contributor.authorMustoffa, A.
dc.contributor.authorHalley, P.
dc.contributor.editorLuis Gomes
dc.contributor.editorMichael Huebner
dc.date.accessioned2017-01-30T14:43:57Z
dc.date.available2017-01-30T14:43:57Z
dc.date.created2014-03-18T20:00:53Z
dc.date.issued2013
dc.identifier.citationNimmagadda, Shastri L. and Noventianto, Andi and Dreher, Heinz and Mustoffa, Aswin and Halley, Parapaty. 2013. Sedimentary Basin - a Petroleum Digital Ecosystem, in Gomes, L. and Huebner, M. (ed), 11th International Conference on Industrial Informatics (INDIN), Jul 29-31 2013, pp. 541-546. Bochum, Germany: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/40558
dc.identifier.doi10.1109/INDIN.2013.6622942
dc.description.abstract

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.

dc.publisherIEEE
dc.subjectsedimentary basins data
dc.subjectmining
dc.subjectdata warehousing
dc.subjectpetroleum systems
dc.subjectontology
dc.titleSedimentary Basin - a Petroleum Digital Ecosystem
dc.typeConference Paper
dcterms.source.startPage541
dcterms.source.endPage546
dcterms.source.titleProceedings 2013 11th IEEE International Conference on Industrial Informatics (INDIN)
dcterms.source.seriesProceedings 2013 11th IEEE International Conference on Industrial Informatics (INDIN)
dcterms.source.isbn9781479907526
dcterms.source.conferenceINDIN 2013
dcterms.source.conference-start-dateJul 29 2013
dcterms.source.conferencelocationBochum, Germany
dcterms.source.placeUSA
curtin.department
curtin.accessStatusFulltext not available


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