Title :
Sedimentary basin - A petroleum digital ecosystem
Author :
Nimmagadda, Shastri L. ; Dreher, Heinz ; Noventianto, Andi ; Mustoffa, Aswin ; Halley, Parapaty
Author_Institution :
PTS, Moscow, Russia
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.
Keywords :
data integration; data mining; data visualisation; data warehouses; geophysical prospecting; hydrocarbon reservoirs; offshore installations; ontologies (artificial intelligence); petroleum industry; production engineering computing; TPS; data conceptualization; data contextualization; data integration; data visualization; digital petroleum ecosystem; digital sedimentary basin; exploration; field development planning; gas field; geological structure; knowledge mapping; multidimensional data mining model; multidimensional data warehousing; offshore petroleum subsystem; oil field; onshore petroleum subsystem; ontology based data mining technology; ontology based data warehousing technology; petroleum bearing sedimentary basin; process attribute; reserve estimation; reservoir quality; specification concept; total petroleum system; Databases; Ecosystems; Geology; Ontologies; Petroleum; Reservoirs; Seals; data warehousing; mining; ontology; petroleum systems; sedimentary basins data;
Conference_Titel :
Industrial Informatics (INDIN), 2013 11th IEEE International Conference on
Conference_Location :
Bochum
DOI :
10.1109/INDIN.2013.6622942