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Output details

12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering

University of Leeds

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Output 56 of 120 in the submission
Article title

Empirical Prediction of Carbon-Steel Degradation Rates on an Offshore Oil and Gas Facility: Predicting CO2 Erosion-Corrosion Pipeline Failures Before They Occur

Type
D - Journal article
Title of journal
SPE Journal
Article number
SPE-163143-PA
Volume number
n/a
Issue number
-
First page of article
-
ISSN of journal
1086-055X
Year of publication
2013
URL
-
Number of additional authors
3
Additional information

Development of a new complementary experimental and theoretical approach to erosion-corrosion modelling and prediction which is correlated with oilfield inspection data, presenting a unique approach to model validation in oil and gas research. The model is developed specifically for and funded by industry (Shell U.K.) with an industrial co-supervisor (S.Cushnaghan@leeds.ac.uk). On the basis of the results, Shell implemented a change to their corrosion management strategy on the Brent fields, as well as taking the decision to increase production rates on the wells. Incidents have reduced on the facility from 1-2 every year to 0 since the change was implemented.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-