Journal
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
Volume 162, Issue 6, Pages C251-C259Publisher
ELECTROCHEMICAL SOC INC
DOI: 10.1149/2.0701506jes
Keywords
-
Ask authors/readers for more resources
A multivariate regression analysis and time-dependent maximum pit depth growth model was developed using maximum pit depths and pipeline operational parameters, which includes temperature, CO2 partial pressure, flow rate, pH, sulfate ion, chloride ion and water cut. This statistical analysis, which used ten years Ultrasonic Thickness Measurement (UTM) data from non-piggable onshore pipelines, accounted for different categories of maximum pitting rates - low, moderate, high and severe. The model was validated using field data from twelve operating pipelines and the results agreed well with the field data. (C) 2015 The Electrochemical Society. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available