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dc.contributor.authorNimmagadda, Shastri
dc.contributor.authorDreher, Heinz
dc.contributor.authorRudra, Amit
dc.identifier.citationNimmagadda, Shastri and Dreher, Heinz and Rudra, Amit. 2006. : Mapping of oil and gas exploration business data entities for effective operational management, 4th International IEEE Conference on Industrial Informatics, Aug 16 2006, pp. 1227-1232. Singapore: IEEE Computer Society Press.

Spatio-temporal data of petroleum resources businesses are heterogeneous in nature with multiple relationships among various entities and attributes. Object oriented (OO) systems provide alternative solutions for handling the complex exploration business data entities, where traditional database systems pose serious limitations. Exploration, which is a key business object class in any petroleum business environment, is composed of several sub classes, such as navigation, seismic, vertical seismic profiling (VSP), well-log and reservoir. Authors classify these typical spatio-temporal data items as classes and sub class objects in the OO modelling. In the present paper, logical entity relationship (ER) models have been re-written in multidimensional and object-oriented models. Syntax of typical exploration data object classes, attributes, operations and their relationships has been described for implementation purposes. This work demonstrates how object class logical data models are flexible and interoperable for fast changing petroleum business situations. Models presented in this paper, guide exploration data managers for effectively managing their operations. An OLAP model discussed in this paper is a pursuit of cost saving detailed exploration for oil and gas prospect investigation in any basin.

dc.publisherIEEE Computer Society Press
dc.subjectoperational management
dc.subjectlocals data models
dc.subjectobject classes
dc.subjectoil and gas
dc.subjectSpatio-temporal data
dc.subjectVertical seismic profiling
dc.titleMapping of oil and gas exploration business data entities for effective operational management
dc.typeConference Paper
dcterms.source.titleINDIN'06 - International IEEE Conference on Industrial Informatics
dcterms.source.seriesINDIN'06 - International IEEE Conference on Industrial Informatics
dcterms.source.conference4th International IEEE Conference on Industrial Informatics
dcterms.source.conference-start-dateAug 16 2006

Copyright 2006 IEEE


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curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School

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