The full text of this article

 

Managing hidden system threats for higher production regularity using intelligent technological solutions: a case study
by Jawad Raza, Jayantha Prasanna Liyanage
European J. of Industrial Engineering (EJIE), Vol. 4, No. 2, 2010

 

Abstract: The identification and interpretation of hidden system threats on complex Oil and Gas (O&G) production platforms has always been a challenge. These threats may gradually develop into failures/faults resulting in system shutdowns or, eventually, loss/reduction of production. The O&G industry is willing to test new technologies in managing uninterrupted, higher production regularity. In response to these challenges, a research project was initiated involving a leading oil company in Norway. A systematic investigative approach was adopted which incorporates domain experts' opinion and multiple information resources/databases. The paper attempts neural network modelling of a critical production loss-related scenario based on real plant data from an offshore production facility. Analytical results captured symptoms of suboptimal performance from compressors installed in the gas compression system. This methodology could give plant operators an opportunity to identify system's anomalies early. As a result, unwanted shutdowns can be avoided, consequently improving the overall plant's efficiency and productivity. [Received 30 October 2008; Revised 26 January 2009; Revised 21 May 2009; Accepted 13 June 2009]

Online publication date: Wed, 20-Jan-2010

 

is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

 
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

 
Complimentary Subscribers, Editors or Members of the Editorial Board of the European J. of Industrial Engineering (EJIE):
Login with your Inderscience username and password:

 

    Username:        Password:         

Forgotten your password?


 
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

 
If you still need assistance, please email subs@inderscience.com