Research challenges in applying intelligent wireless sensors in the oil, gas and resources industries

Talevski, Alex; Carlsen, S.; Petersen, S.

doi:10.1109/INDIN.2009.5195848

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Access Status

Open access

Authors

Talevski, Alex

Carlsen, S.

Petersen, S.

Date

2009

Type

Conference Paper

Metadata

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Citation

Talevski, Alex and Carlsen, Simon and Petersen, Stig. 2009. Research challenges in applying intelligent wireless sensors in the oil, gas and resources industries, in Duc-Truong Pham and Armando Colombo (ed), 7th IEEE International Conference on Industrial Informatics (INDIN 2009), Jun 23 2009, pp. 464-469. Cardiff, UK: IEEE

Source Title

Proceedings of the 7th IEEE international conference on industrial informatics (INDIN 2009)

Source Conference

7th IEEE International Conference on Industrial Informatics (INDIN 2009)

DOI

10.1109/INDIN.2009.5195848

ISBN

9781424437597

Faculty

Curtin Business School

The Digital Ecosystems and Business Intelligence Institute (DEBII)

School

Digital Ecosystems and Business Intelligence Institute (DEBII)

Remarks

Copyright © 2009 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/20.500.11937/34951

Collection

Curtin Research Publications

Abstract

The monitoring of oil, gas and resources plant performance and the operational environment through sensors allows for greater insight into potential safety problems and operational requirements. Such solutions promote a safe and healthy work environment for all stakeholders and optimized operations. Intelligent techniques and the monitoring of key historical operational properties can be used to realize certain characteristics and patterns in operation data. Such solutions may enhance operational visualization, foresight, forecasting and maintenance schedules for effective and efficient operation and maintenance. This optimizes plant safety, production, turnarounds, shutdowns and maintenance and improves error tolerance and recovery.However, the development of robust devices that are able to perform in these remote and hostile requirements along with the intelligent solutions to structure, store, process and retrieve this information are difficult to realize. This paper investigates the use of wireless sensors and the related intelligent solutions in the oil, gas and resource industries.