Petroleum ontology: an effective data integration and mining methodology aiding exploration of commercial petroleum plays

Nimmagadda, Shastri; Dreher, Heinz

doi:10.1109/INDIN.2008.4618302

116687_Petroleum%20ontology%20PID%20116687.pdf (685.0Kb)

Access Status

Open access

Authors

Nimmagadda, Shastri

Dreher, Heinz

Date

2008

Type

Conference Paper

Metadata

Show full item record

Citation

Nimmagadda, Shastri and Dreher, Heinz. 2008. Petroleum ontology: an effective data integration and mining methodology aiding exploration of commercial petroleum plays, in Lee, J-J. and Yu, X. (ed), 6th IEEE in International Conference on Industrial Informatics (INDIN 2008), Jul 13 2008, pp. 1289-1295. Daejeon, Korea: Institute of Electrical and Electronics Engineers (IEEE).

Source Title

IEEE INDIN 2008 - 6th IEEE international conference on industrial informatics

Source Conference

6th IEEE international conference on industrial informatics

DOI

10.1109/INDIN.2008.4618302

ISBN

9781424421718

Faculty

Curtin Business School

School of Information Systems

Remarks

Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/41304

Collection

Curtin Research Publications

Abstract

The success of petroleum exploration business depends on appropriate design and implementation of seismic exploration programs. Volume of seismic data instances (deduced for structural interpretation) is used for modeling multidimensional data structures in a warehouse environment.Several business rules (constraints) are applied to the design and development of a data warehouse. Seismic-time horizons, welldata, reservoir properties and petroleum production as data dimensions or classes and their associated attributes, have been used for integrating and modeling their data instances with numerous hierarchies. Ontology addresses issues of semantics and contexts (naming conventions) involved during design of business rules and building relationships among severalhierarchies. Business rules inform the data integration and data mining process, especially when heterogeneous data structures are denormalized for fine-grained data structuring and facilitatethe association rule mining process. Several data views have been presented for analyzing the effectiveness and deliverability of warehouse-modeled information. Design of business rulescombined with fine-grained ontology structuring appears to have a definitive impact on data mining of seismic data instances, enhancing seismic data knowledge and improving geological interpretation. Petroleum ontology proves to be an effective knowledge mapping tool, which can revolutionize thepetroleum exploration industries.