Effect of Flow Pattern at Pipe Bends on Corrosion Behaviour of Low Carbon Steek and its Challenges

Recent design work regarding seawater flow lines has emphasized the need to identify, develop, and verify critical relationships between corrosion prediction and flow regime mechanisms at pipe bend. In practice this often reduces to an pragmatic interpretation of the effects of corrosion mechanisms at pipe bends. Most importantly the identification of positions or sites, within the internal surface contact areas where the maximum corrosion stimulus may be expected to occur, thereby allowing better understanding, mitigation, monitoring and corrosion control over the life cycle. Some case histories have been reviewed in this context, and the interaction between corrosion mechanisms and flow patterns closely determined, and in some cases correlated. Since the actual relationships are complex, it was determined that a risk based decision making process using selected ‘what’ if corrosion analyses linked to ‘what if’ flow assurance analyses was the best way forward. Using this in methodology, and pertinent field data exchange, it is postulated that significant improvements in corrosion prediction can be made. This paper outlines the approach used and shows how related corrosion modelling software data such as that available from corrosion models Norsok  M5006, and Cassandra to parallel  computational flow modelling in a targeted manner can generate very noteworthy results, and considerably more viable trends for corrosion control guidance. It is postulated that the normally associated lack of agreement between corrosion modelling and field experience, is more likely due to inadequate consideration of corrosion stimulating flow regime data, rather than limitations of the corrosion modelling. Applications of flow visualization studies as well as computations with the k-  model of turbulence have identified flow features and regions where metal loss is a maximum.

[1]  Cen Ke-fa,et al.  Numerical simulation of tube erosion by particle impaction , 1991 .

[2]  Michael Fairweather,et al.  Prediction of turbulent gas‐solid flow in a duct with a 90° bend using an Eulerian‐Lagrangian approach , 2012 .

[3]  Seiichi Koshizuka,et al.  Evaluation of flow accelerated corrosion by coupled analysis of corrosion and flow dynamics. Relationship of oxide film thickness, hematite/magnetite ratio, ECP and wall thinning rate , 2011 .

[4]  Rached Ben-Mansour,et al.  Erosion in the tube entrance region of an air-cooled heat exchanger , 2006 .

[5]  Kun Luo,et al.  Large Eddy Simulation of the Anti-Erosion Characteristics of the Ribbed-Bend in Gas-Solid Flows , 2004 .

[6]  Siamack A. Shirazi,et al.  Numerical and experimental investigation of the relative erosion severity between plugged tees and elbows in dilute gas/solid two-phase flow , 2006 .

[7]  Siamack A. Shirazi,et al.  Modeling Solid Particle Erosion in Elbows and Plugged Tees , 2001 .

[8]  Guan Heng Yeoh,et al.  Principal characteristics of turbulent gas-particulate flow in the vicinity of single tube and tube bundle structure , 2004 .

[9]  S. Patankar Numerical Heat Transfer and Fluid Flow , 2018, Lecture Notes in Mechanical Engineering.

[10]  A. Bourgoyne Experimental Study of Erosion in Diverter Systems Due to Sand Production , 1989 .

[11]  I. Finnie Some reflections on the past and future of erosion , 1995 .

[12]  E. Rybicki,et al.  A Two-Dimensional Mechanistic Model For Sand Erosion Prediction Including Particle Impact Characteristics , 2010 .

[13]  W. Tabakoff,et al.  Numerical Simulation of a Dilute Particulate Flow (Laminar) Over Tube Banks , 1994 .

[14]  M. Fairweather,et al.  Reynolds stress closure applied to axisymmetric, impinging turbulent jets , 1996 .

[15]  J. Bitter A study of erosion phenomena part I , 1963 .

[16]  B. Hedges,et al.  The corrosion inhibitor availability model , 2000 .

[17]  Siamack A. Shirazi,et al.  Improvements of Particle Near-Wall Velocity and Erosion Predictions Using a Commercial CFD Code , 2009 .

[18]  Jun Yao,et al.  Antierosion in a 90° bend by particle impaction , 2002 .

[19]  I. Finnie Erosion of surfaces by solid particles , 1960 .

[20]  Ian J. Rippon,et al.  Carbon Steel Pipeline Corrosion Engineering: Life Cycle Approach , 2001 .

[21]  K. Ludema,et al.  Wear models and predictive equations: their form and content , 1995 .

[22]  Jiyong Cai,et al.  A Multiphase Flow and Internal Corrosion Prediction Model for Mild Steel Pipelines , 2005 .

[23]  Kefa Cen,et al.  A numerical study of a protection technique against tube erosion , 1999 .

[24]  S. Nešić,et al.  Mechanistic Model for Prediction of the Top of the Line Corrosion Risk , 2003 .

[25]  Siamack A. Shirazi,et al.  Application and experimental validation of a computational fluid dynamics (CFD)-based erosion prediction model in elbows and plugged tees , 2004 .

[26]  Renyang He,et al.  Numerical simulation of predicting and reducing solid particle erosion of solid-liquid two-phase flow in a choke , 2009 .

[27]  Kip Sprague,et al.  A Review of Monitoring and Inspection Techniques for CO2 and H2S Corrosion in Oil & Gas Production Facilities: Location, Location, Location , 2006 .

[28]  S. Shirazi,et al.  A Comprehensive Procedure to Estimate Erosion in Elbows for Gas/Liquid/Sand Multiphase Flow , 2006 .

[29]  A. Forder,et al.  A numerical investigation of solid particle erosion experienced within oilfield control valves , 1998 .

[30]  Rached Ben-Mansour,et al.  Solid‐particle erosion in the tube end of the tube sheet of a shell‐and‐tube heat exchanger , 2006 .

[31]  Michael Fairweather,et al.  Modelling of pipe bend erosion by dilute particle suspensions , 2012, Comput. Chem. Eng..

[32]  Jun Yao,et al.  Experimental and numerical investigation of a new method for protecting bends from erosion in gas-particle flows , 2001 .

[33]  D. Bergstrom,et al.  Predictive models for erosion-corrosion under disturbed flow conditions , 1993 .