TITLE:
Corrosion-Based Integrity Analysis of Offshore Pipeline for Hydrocarbon Transportation
AUTHORS:
David Emmanuel Udonsek, Daniel Tamonodukobipi, Victor Effiong Odokwo
KEYWORDS:
Failure, Prediction, Marine Pipelines, Crude Oil, Subsea
JOURNAL NAME:
Journal of Power and Energy Engineering,
Vol.11 No.5,
May
31,
2023
ABSTRACT: Conventional
pipeline corrosion assessment methods result in failure pressure predictions
that are conservative, especially for pipelines that are subjected to internal
pressure and axial compressive stress. Alternatively, numerical methods may be
used. However, they are computationally expensive. This paper proposes an
analytical equation based on finite element analysis (FEA) for failure pressure
prediction of a high toughness corroded pipeline with a single corrosion defect
subjected to internal pressure and axial compressive stress. The equations were
developed based on the weights and biases of an Artificial Neural Network (ANN)
model trained with failure pressure from finite element analysis (FEA) of a
high toughness pipeline for various defect depths, defect lengths, and axial
compressive stresses. The proposed model was validated against actual burst
test results for high toughness materials and was found to be capable of making
accurate predictions with a coefficient of determination (R2) of
0.99. An extensive parametric study using the proposed model was subsequently
conducted to determine the effects of defect length, defect depth, and axial
compressive stress on the failure pressure of a corroded pipe with a single
defect. The application of ANN together with FEA has shown promising results in
the development of an empirical solution for the failure pressure prediction of
pipes with a single corrosion defect subjected to internal pressure and axial
compressive stress.