Reliability analysis of ovalized deep-water pipelines with corrosion defects

Abstract The accurate assessment of the remaining strength of corroded pipes is a subject that has been increasingly investigated over the past decades. This is because of the risk of significant social, economic, and environmental effects that may be caused by an accident. The finite element method has been successfully used to predict the collapse pressure considering external load. It was also used in this study. The literature primarily focused on the corroded pipes subjected to internal pressure. In this study, the out-of-roundness (ovalization) of the pipe was considered to evaluate the collapse pressure. Uncertainties should be incorporated into a computational model to assess the reliability of corroded pipes. Three methods for evaluation of the probability of failure were used: the first-order reliability method (FORM), traditional Monte Carlo (MC), and a new proposed methodology that combines MC results with the kernel density estimation method (MCkde). The probability of failure of ovalized corroded pipes subject to external pressure was computed. The results exhibited a good agreement between FORM and MCkde method. The statistical importance of each random variable was observed and the results were compared with those from intact ovalized pipes. The computation cost of the MC method with numerical simulation limits its use to the application under study. Solutions using the FORM and MCkde methods exhibited good agreement with those of the full MC method. However, the computational effort of the latter was independent of the stochastic dimension, and it was a derivative-free method. As expected, in general, the solutions based on empirical methods were conservative.

[1]  Robert L. Allwood,et al.  Effect of thickness variation on collapse pressure of seamless pipes , 2010 .

[2]  R. Rackwitz,et al.  Structural reliability under combined random load sequences , 1978 .

[3]  Theodoro A. Netto,et al.  On the Effect of Narrow and Long Corrosion Defects on the Collapse Pressure of Pipelines , 2009 .

[4]  Mauricio Sánchez-Silva,et al.  Reliability assessments of corroded pipelines based on internal pressure – A review , 2019, Engineering Failure Analysis.

[5]  Roberto Bruschi,et al.  Minimum Wall Thickness Requirements for Ultra Deep-Water Pipelines , 2003 .

[6]  Leandro Fleck Fadel Miguel,et al.  A gradient-based polynomial chaos approach for risk and reliability-based design optimization , 2017 .

[7]  Theodoro A. Netto,et al.  A simple procedure for the prediction of the collapse pressure of pipelines with narrow and long corrosion defects — Correlation with new experimental data , 2010 .

[8]  Eric Jones,et al.  SciPy: Open Source Scientific Tools for Python , 2001 .

[9]  Duane S. Cronin Finite Element Analysis of Complex Corrosion Defects , 2002 .

[10]  Dayong Li,et al.  Numerical simulation of X90 UOE pipe forming process , 2013 .

[11]  H. Karadeniz A Method For Including Ovalization Effects of Tubular Member On Cross-Section Properties , 2001 .

[12]  Kui Xu,et al.  Probabilistic analysis of corroded pipelines based on a new failure pressure model , 2017 .

[13]  Z. Mustaffa Developments in Reliability-Based Assessment of Corrosion , 2014 .

[14]  T. Netto,et al.  On the effect of corrosion defects on the collapse pressure of pipelines , 2007 .

[16]  M. Ahammed,et al.  Probabilistic estimation of remaining life of a pipeline in the presence of active corrosion defects , 1998 .

[17]  Dirk P. Kroese,et al.  Kernel density estimation via diffusion , 2010, 1011.2602.

[18]  Om Prakash Yadav,et al.  Reliability‐based robust design optimization: A multi‐objective framework using hybrid quality loss function , 2010, Qual. Reliab. Eng. Int..

[19]  Arash Noshadravan,et al.  Reliability-based lifecycle management for corroding pipelines , 2019, Structural Safety.

[20]  Richard Hall,et al.  Collapse strength analysis of casing design using finite element method , 2000 .

[21]  Deli Gao,et al.  A theoretical study of the critical external pressure for casing collapse , 2015 .

[22]  Segen F. Estefen,et al.  The effect of corrosion defects on the burst pressure of pipelines , 2005 .

[23]  Silvana M. B. Afonso,et al.  An efficient procedure for structural reliability-based robust design optimization , 2016 .

[24]  C. Guedes Soares,et al.  A methodology to quantify the risk of subsea pipeline systems at the oilfield development selection phase , 2019, Ocean Engineering.

[25]  Arve Bjørset,et al.  Capacity Assessment of Titanium Pipes Subjected to Bending and External Pressure , 2000 .

[26]  André T. Beck,et al.  A performance measure approach for risk optimization , 2019, Structural and Multidisciplinary Optimization.

[27]  Theodoro A. Netto,et al.  Predictive analyses of the integrity of corroded pipelines based on concepts of structural reliability and Bayesian inference , 2015 .

[28]  Francisco Caleyo,et al.  A study on the reliability assessment methodology for pipelines with active corrosion defects , 2002 .

[29]  Constança Rigueiro,et al.  A comprehensive method for fatigue life evaluation and extension in the context of predictive maintenance for fixed ocean structures , 2020 .

[30]  Frans J. Klever,et al.  A New OCTG Strength Equation for Collapse Under Combined Loads , 2006 .

[31]  Djamel Zelmati,et al.  Probabilistic analysis of corroded pipeline under localized corrosion defects based on the intelligent inspection tool , 2020 .

[32]  Rita G. Toscano,et al.  Experimental/numerical analysis of the collapse behavior of steel pipes , 2000 .

[33]  Andy J. Keane,et al.  Computational Approaches for Aerospace Design: The Pursuit of Excellence , 2005 .

[34]  R. C. Johnson,et al.  Reliability-Based Casing Design , 1995 .

[35]  G. Qian,et al.  Effect of correlated input parameters on the failure probability of pipelines with corrosion defects by using FITNET FFS procedure , 2013 .

[36]  P Hopkins,et al.  Best practice for the assessment of defects in pipelines – Corrosion , 2007 .

[37]  E. Riks An incremental approach to the solution of snapping and buckling problems , 1979 .

[38]  S. Timoshenko Theory of Elastic Stability , 1936 .

[39]  Divino J. S. Cunha,et al.  Failure pressure prediction of corroded pipes under combined internal pressure and axial compressive force , 2019, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

[40]  Jianghong Xue,et al.  Buckle propagation in pipelines with non-uniform thickness , 2001 .

[41]  S. Kyriakides,et al.  Collapse of Deepwater Pipelines , 1988 .

[42]  Renato S. Motta,et al.  The development of a computational tool for generation of high quality FE models of pipelines with corrosion defects , 2017 .

[43]  Robert E. Melchers,et al.  Reliability estimation of pressurised pipelines subject to localised corrosion defects , 1996 .

[44]  Yong Bai,et al.  Buckle propagation of offshore pipelines under external pressure , 2012 .

[45]  W. Ramberg,et al.  Description of Stress-Strain Curves by Three Parameters , 1943 .

[46]  C. Guedes Soares,et al.  Reliability of pipelines with corrosion defects , 2008 .

[47]  Carlos Soares,et al.  Reliability Analysis of Pipelines With Local Corrosion Defects Under External Pressure , 2019, Journal of Offshore Mechanics and Arctic Engineering.

[48]  J. Simonoff Multivariate Density Estimation , 1996 .

[49]  R. Ghanem,et al.  Stochastic Finite Elements: A Spectral Approach , 1990 .

[50]  Segen F. Estefen,et al.  Pipelines, risers and umbilicals failures: A literature review , 2018 .

[51]  Faisal Khan,et al.  Probability assessment of burst limit state due to internal corrosion , 2012 .

[52]  E. Riks The Application of Newton's Method to the Problem of Elastic Stability , 1972 .

[53]  J. Beck,et al.  Estimation of Small Failure Probabilities in High Dimensions by Subset Simulation , 2001 .

[54]  M. Rosenblatt Remarks on Some Nonparametric Estimates of a Density Function , 1956 .

[55]  Robert E. Melchers,et al.  Structural Reliability: Analysis and Prediction , 1987 .

[56]  André T. Beck,et al.  Reliability-based design optimization strategies based on FORM: a review , 2012 .

[57]  Sankaran Mahadevan,et al.  A direct decoupling approach for efficient reliability-based design optimization , 2006 .

[58]  Stelios Kyriakides,et al.  Collapse of partially corroded or worn pipe under external pressure , 2008 .

[59]  D. Owen,et al.  Computational methods for plasticity : theory and applications , 2008 .

[60]  Wenxing Zhou,et al.  System reliability of corroding pipelines , 2010 .

[61]  A. M. Hasofer,et al.  Exact and Invariant Second-Moment Code Format , 1974 .

[62]  Helio da Cunha Bisaggio,et al.  Probabilistic Analysis of the Collapse Pressure of Corroded Pipelines , 2016 .

[63]  Renato S. Motta,et al.  Development of a computational efficient tool for robust structural optimization , 2015 .

[64]  H. Ahmadi,et al.  Probabilistic analysis of stress concentration factors in tubular KT-joints reinforced with internal ring stiffeners under in-plane bending loads , 2016 .

[65]  Renato S. Motta,et al.  Comparative studies for failure pressure prediction of corroded pipelines , 2017 .

[66]  Jeom Kee Paik,et al.  A risk-based inspection planning method for corroded subsea pipelines , 2015 .

[67]  E. Parzen On Estimation of a Probability Density Function and Mode , 1962 .