Scientific Surveys Ltd The Premiere Pipeline Portal
SSL HomeAbout SSLSSL LinksContact UsFeedback SSL Store
 
PipemagPipedirPigsourceWorldpipePipeconferences
Home
Search
Start here, you'll be able to search products by Title, Publication Date, Keywords, or browse by Category.
Continue
Keep items in your cart, continue shopping
Checkout
Click here when you're done buying.
An account is required to use ssl's secure commerce engine
Once created, you may proceed to either modify your account or continue to purchase items.
View Cart
Check the items you've put in your cart for purchase.
Order Status
Find out where your order is.
 

 

Displaying records 568 through 568 of 2180
First Prior Next Last
   
Qty:  Add to Cart
Title: Development of an uncertainty-based internal corrosion assessment for oil and gas pipelines
Category: Technical papers from the Journal of Pipeline Engineering
Downloadable: Yes 
Catalog No.: 2108s
Date of Publication: June, 2007
Price: $25.00 US
Authors: Dr Kirsten Oliver and Dr D G John
Abstract: INTERNAL INSPECTION of pipelines is not always economically possible, and therefore a method of assessing the current condition based on historic operating and process conditions has been developed. Modelling the corrosivity of the fluids over the life of the pipeline enables an assessment of the current condition to be established. This then allows a risk-based approach to extension of asset life to be developed. The analysis method uses uncertainty-based probability analysis to allow for gaps in data and uncertainty in process conditions. Changes in operating condition and process fluids over time will affect the likely degradation, year-on-year. This paper presents two case studies where the use of uncertainty modelling has enabled the current condition of the pipeline to be assessed. In addition, the future life expectancy is presented as a probability profile that can then be used to assess the risk associated with changing future process parameters. This modelling approach also enables corrosion data to be transferred into financial data by assessing probability and risk.
SSL Home Copyright | Privacy Statement