Mapping of oil and gas exploration business data entities for effective operational management
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 sys...
| Main Authors: | , , |
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| Format: | Conference Paper |
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IEEE Computer Society Press
2006
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/5373 |
| _version_ | 1848744778909351936 |
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| author | Nimmagadda, Shastri Dreher, Heinz Rudra, Amit |
| author_facet | Nimmagadda, Shastri Dreher, Heinz Rudra, Amit |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:06:53Z |
| format | Conference Paper |
| id | curtin-20.500.11937-5373 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:06:53Z |
| publishDate | 2006 |
| publisher | IEEE Computer Society Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-53732017-09-13T15:53:52Z Mapping of oil and gas exploration business data entities for effective operational management Nimmagadda, Shastri Dreher, Heinz Rudra, Amit basin operational management locals data models OO OLAP object classes oil and gas Spatio-temporal data VSP oil exploration gas object-oriented Vertical seismic profiling 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. 2006 Conference Paper http://hdl.handle.net/20.500.11937/5373 10.1109/INDIN.2006.275814 IEEE Computer Society Press fulltext |
| spellingShingle | basin operational management locals data models OO OLAP object classes oil and gas Spatio-temporal data VSP oil exploration gas object-oriented Vertical seismic profiling Nimmagadda, Shastri Dreher, Heinz Rudra, Amit Mapping of oil and gas exploration business data entities for effective operational management |
| title | Mapping of oil and gas exploration business data entities for effective operational management |
| title_full | Mapping of oil and gas exploration business data entities for effective operational management |
| title_fullStr | Mapping of oil and gas exploration business data entities for effective operational management |
| title_full_unstemmed | Mapping of oil and gas exploration business data entities for effective operational management |
| title_short | Mapping of oil and gas exploration business data entities for effective operational management |
| title_sort | mapping of oil and gas exploration business data entities for effective operational management |
| topic | basin operational management locals data models OO OLAP object classes oil and gas Spatio-temporal data VSP oil exploration gas object-oriented Vertical seismic profiling |
| url | http://hdl.handle.net/20.500.11937/5373 |