Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A fuzzy safety control framework for oil platforms

A fuzzy safety control framework for oil platforms Purpose – This paper aims at developing a methodology capable of controlling accidents and failures in oil and gas production activities. Design/methodology/approach – Fuzzy analysis that is based on fuzzy linguistics, rule matrix, rule structures, and system operating rules is utilised. Fuzzy methodology is applied to develop a safety control model for the prevention of accidents and failures in oil and gas production activity offshore platforms. Findings – The model is demonstrated with a case study, thereby suggesting the feasibility of the applied approach in practical cases. Practical implications – Primarily, the study aims to guarantee safety. Also uncertainties and imprecision that commonly characterize safety measurement systems are tracked. The time‐consuming activity in measurement and the requirement of lots of specific information about the process is avoided. Originality/value – The results from the study provide valuable baseline information for future research investigating how safety of oil platforms is affected by some factors. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

Loading next page...
 
/lp/emerald-publishing/a-fuzzy-safety-control-framework-for-oil-platforms-NahYw8HskS

References (36)

Publisher
Emerald Publishing
Copyright
Copyright © 2006 Emerald Group Publishing Limited. All rights reserved.
ISSN
0265-671X
DOI
10.1108/02656710610664613
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper aims at developing a methodology capable of controlling accidents and failures in oil and gas production activities. Design/methodology/approach – Fuzzy analysis that is based on fuzzy linguistics, rule matrix, rule structures, and system operating rules is utilised. Fuzzy methodology is applied to develop a safety control model for the prevention of accidents and failures in oil and gas production activity offshore platforms. Findings – The model is demonstrated with a case study, thereby suggesting the feasibility of the applied approach in practical cases. Practical implications – Primarily, the study aims to guarantee safety. Also uncertainties and imprecision that commonly characterize safety measurement systems are tracked. The time‐consuming activity in measurement and the requirement of lots of specific information about the process is avoided. Originality/value – The results from the study provide valuable baseline information for future research investigating how safety of oil platforms is affected by some factors.

Journal

International Journal of Quality & Reliability ManagementEmerald Publishing

Published: Jun 1, 2006

Keywords: Fuzzy logic; Oil industry; Health and safety; Petroleum technology; Uncertainty management

There are no references for this article.