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urnal of ApJopeerngin inglEcd Me hanicalieISSN: 2168-9873Journal of AppliedMechanical EngineeringSeo et al., J Appl Mech Eng 2015, 4:2DOI: 10.4172/2168-9873.1000162Research ArticleOpen AccessDesign Parameter Characteristics in a Subsea Rigid JumperJung Kwan Seo1*, Dong Woo Kim1 and So Young Bae21The Korea Ship and Offshore Research Institute, Pusan National University, Busan, Korea2Electric and Electronic Research Division, Korea Marine Equipment Research Institute, Busan, KoreaAbstractFunctionally, subsea jumpers in a short pipe connector are used to transport production fluids between twosubsea components such as a tree and manifold, manifold and manifold or manifold and export sled. In the designof a rigid jumper system, all parts of the system should be analyzed with respect to reliability, safety, costs andexpected failure rates and to minimize failures and maintenance for the life of the design. Rigid jumpers are standardshaped pipes that can withstand high static and dynamic loads generated by internal pressure, temperature andexternal fluid effects. This paper describes a fluid structure interaction modeling technique that incorporates all ofthe significant behavioral effects that influence the thermal and geometric characteristics of jumpers for operating,hydraulic and service fluids. The use of nonlinear finite element code allowed the creation of a jumper model of acoupled fluid structure interaction problem. The results and recommendations presented in this paper will provideassistance to the industry in the design and analysis of subsea jumpers.Keywords: Subsea environment; Jumper; Extreme environmentalcondition; Fluid structure interactionIntroductionSubsea fields have been developed using a variety of tie-in systemsover the past decades. Subsea jumpers are widely used today in variousways in subsea oil/gas production systems. Functionally, a subseajumper is a short pipe connector used to transport production fluidbetween two subsea components such as a tree and manifold, manifoldand manifold or manifold and export sled (Figure 1a). Different types ofhorizontal and vertical tie-in systems and associated connection toolsare used for the tie-in of flow lines, umbilicals and other applicationsin service [1].In the design of a rigid jumper system, all parts of the system shouldbe analyzed with respect to reliability, safety, costs and expected failurerates and to minimize failures and maintenance for the life of thedesign. In addition, the systems are periodically de pressurized duringoperation for maintenance. Due to the complicated and wide variety ofload conditions handled, subsea rigid jumpers must go through severalanalysis iterations to reach an optimal design. Rigid jumpers have topossess enough flexibility to accommodate end thermal expansionand installation misalignments, which are governing loads for jumperstrength analysis in the majority of cases. The jumper connectorcapacity envelope can also be the driving factor for increasingflexibility. To achieve these requirements, the typical span length of arigid jumper is from 20 to 50 m. It is usually fabricated into an M-shape(Figure 1b), L-shape or inverted U-shape by adding vertical legs andusing steel bends, tees and elbows. This is basically a fluid structureinteraction (FSI) problem, in which internal or external flow interactswith the structure to create stresses and pressures that deform the pipeand consequently alter the flow of the fluid [2]. Thus, the interactionphenomenon is very important in the design of the jumper. This paperpresents the results of an investigation of the collapse strength of pipesof varying shapes, in which ovality, temperature and internal velocityare considered.Standard Code for PipelineAmong the current industry practice regulations, the standardJ Appl Mech EngISSN:2168-9873 JAME, an open access journalmechanical design for ultra-deep-water pipelines is based on APIRP 1111 [3], which have been used for deep-water projects in WestAfrica. DNV OS F101 [4] has mostly been used for deep-water projectsin offshore Brazil and Europe. DNV OS F101 includes no limitationson water depth. However, when this standard is applied in deepwater, for which experience is limited, special considerations must bemade. The original collapse pressures listed in DNV OS F101 are onlyapplicable to pipelines that are straight in a stress-free condition andare not applicable to bends, for example [5]. The characteristic collapsepressure ( ) is calculated from equations (1)-(3):Pc Pel Pp f o( Pc Pel )( Pc 2 Pp 2 ) 3Dt(1)Dmax Dmin2t t , foPel 2 E / (1 ν 2 ), Pp f yα fab DD D (2)where Pc is the characteristic collapse pressure, Pel is the elastic collapsepressure, Pp is the plastic collapse pressure, f y is the yield stress tobe used in the design, E is the elastic modulus, α fab is the fabricationfactor, t is the wall thickness of the pipe and ν is the Poisson ratio.The external pressure at any point along the pipeline shall meet thefollowing criterion:Pe Pmin Pcγ mγ SC(3)where Pe is the external pressure, γ m is the material resistance factorand γ SC is the safety class resistance factor.*Corresponding author: Jung Kwan Seo, the Korea Ship and Offshore ResearchInstitute, Pusan National University, Busan, Korea, Tel: 82 51 510-2415; E-mail:seojk@pusan.ac.krReceived January 24, 2015; Accepted March 26, 2015; Published March 31,2015Citation: Seo JK, Kim DW, Bae SY (2015) Design Parameter Characteristics in aSubsea Rigid Jumper. J Appl Mech Eng 4: 162. doi:10.4172/2168-9873.1000162Copyright: 2015 Singh H, et al. This is an open-access article distributed underthe terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.Volume 4 Issue 2 1000162

Citation: Seo JK, Kim DW, Bae SY (2015) Design Parameter Characteristics in a Subsea Rigid Jumper. J Appl Mech Eng 4: 162. doi:10.4172/21689873.1000162Page 2 of 6cost. Three design parameters are considered, temperature, velocityand ovality. The range of each variable is divided into m intervals, soone sample will be taken from every interval. The input is taken from arandom selection of scenarios that covers the whole range of variables,such that the sampling scheme does not require additional samples formore dimensions (variables), which is one of the main advantages ofLHS. More detailed information on the basis and application of theLHS technique can be found in Ye (1998) [7].(a) Subsea oil/gas production system(b) Typical M-shaped jumperFigure 1: Subsea oil/gas production system and M-shaped jumper.In this study, the collapse pressure is evaluated using empiricalmodels and numerical analysis. It is well known that these design codescontain simplifications and assumptions that result in a less accurateassessment. Therefore, an advanced method of assessment, such asthe finite element method, is necessary to overcome these kinds ofproblems. Thus, the assessment of the prediction of collapse pressureby means of numerical analysis is performed using nonlinear finiteelement analysis (FEA) software.Analysis ProcedureThis section summarizes the sensitivity analysis procedure used forthe subsea rigid jumper under extreme conditions, as shown in Figure 1.The governing equations of incompressible thermal flow in asteady-state single phase are the conservation of mass, momentumand energy. In this study, the turbulence model and the wall functionare applied in the steady-state thermal flow analysis. Full coupling isneeded between the particles and the continuous phase to predict theeffect of the particles on the continuous-phase flow field. We use 200particles to calculate the effect of the particles on the continuous fluid.The density and viscosity of fluid in the subsea jumper are consideredin the computational fluid dynamics (CFD) simulation.Nonlinear large deflection and bilinear isotropic hardeningmodels are adopted to numerically simulate a nonlinear FEA. Thefollowing ANSYS [6] non-linear FEA is used in this study for thecomputations of collapse strength of subsea jumper structures. TheANSYS nonlinear FEA is the most refined method of those currentlyavailable and is believed to provide the most accurate solutions. It isimportant to realize that the modelling technique applied must becapable of representing the actual structural behaviour associated withgeometrical nonlinearity, material nonlinearity (temperature), typeand magnitude of initial imperfections (ovality) due to installation andtransportation, boundary conditions, loading conditions and meshsize, etc.Scenario selection for design parametersTo determine sensitivity and the effect of design parameters onthe collapse strength of varying pipe shapes, ovality, temperature andinternal fluid velocity are considered. Latin hypercube sampling (LHS) isa very effective and popular procedure for the propagation of epistemicuncertainty in analyses of complex systems. A relatively small Latinhypercube sample can be used to cover a very large number of samples,making LHS both effective and popular. Analyses of complex systemstypically involve large and computationally demanding models. As aconsequence, it is necessary to use an efficient sampling procedure suchas LHS in the propagation of epistemic uncertainty because the numberof model evaluations that can be performed is limited by computationalJ Appl Mech EngISSN:2168-9873, an open access journalNumerical AnalysisM-shaped rigid jumperRigid jumpers are standard-shaped pipes that can withstandthe high static and dynamic loads generated by internal pressure,temperature and external fluid effects. A jumper usually connects a treewith a manifold. A rigid M-shaped jumper is the configuration that isstudied here, and its dimensions are shown in Figures 2 and 3. The rigidjumper is made of grade X65 carbon steel. The main dimensions andgeneral information on the target jumper are summarized in Table 1.Parametric scenario selectionThree random variables must be considered, temperature (X1),velocity (X2) and ovality (X3). These parameters are considered to beindependent and important parameters related to collapse pressure.Ovality and temperature are considered, according to DNV criteria,as 0%-3% and 50-200 C, respectively. The general subsea pipelinevelocity is considered to be 1-5 m/s. We thus consider three randomparameters, ovality, temperature and velocity. The temperature andvelocity of fluid are quite distinct based on characteristics of oil andgas. Therefore, a certain range of temperature and velocity are assumedaccording to the probability density function shown in Figure 4. Theinitial imperfection of a pipeline (ovality) is considered with DNV OSF101 code as the probability density function.STARTCFD (Single-phase flow)Environmental ConditionsCFD Setting & AnalysisPressure Drop(Experimental Equation)NOPressure Drop(CFD Results)VerificationYESFEMInternal pressureOvalityTemperatureEnvironment ConditionsMaterial (API X42)FE Setting & AnalysisCollapse PressureSensitivityFSI(Fluid Structural Interaction)Results (Each Parameter)Sensitivity AnalysisENDFigure 2: Procedure for fluid-structure interaction analysis.Properties of a rigid M-shaped jumperDensity, kg/m37861.092Outer diameter, mm273.050Wall thickness, mm31.750Table 1: General information on the target pipeline.Volume 4 Issue 2 1000162

Citation: Seo JK, Kim DW, Bae SY (2015) Design Parameter Characteristics in a Subsea Rigid Jumper. J Appl Mech Eng 4: 162. doi:10.4172/21689873.1000162Page 3 of 6Sensitivity InvestigationFSI analysisf ( x ) 0.00667PDF0.0070.350.0060.300.0050.004Scenario Selection(Latin Hypercube Sampling)0.0030.002Probability DensityProbability DensityPDF0.001Variable 3 (Velocity)f ( x ) 0.330.250.200.150.100.050.000 Range:150m/sm/s60 705 80900.00100 110 120 130 140 150 160 170 180 190 200Temperature (0123Ovality (%) )f ( x ) 0.25PDF0.25Probability DensityFifty scenarios are randomly selected by the sampling method. Theprobability density distribution of each random variable is divided into50 segments, with the interval of each segment determined such thatthe area below the curve between the probability density versus randomvariable must be equal, as shown in Figure 2. The representative valueof a random variable for a segment is taken as the average value of thatsegment. The center of the area is taken as the representative value ofthe segment at the tail of the probability density distribution. Table 2lists 50 representative values for each random variable.0.200.150.100.050.00To simulate the fluid and structural behaviour of the targetstructure with and without lateral pressure, attention must be paidto several considerations. In this study, the turbulence model and thewall function are applied in the steady-state thermal flow analysis. Fullcoupling is needed between the particles and the continuous phase topredict the effect of the particles on the continuous-phase flow field.12345Velocity (m/s)Figure 4: Probability density functions (PDF) for temperature, ovality e 3: Dimensions of the M-shaped rigid jumper.ScenarioTempTemperature Ovality VelocityOvality VelocityScenario erature( C)(%)(m/s)(%)(m/s)( 541.712.8050162.562.733.12(a) Structural region(b) Fluid regionFigure 5: Numerical modelling for FSI analysis.This effect is calculated using 200 particles, with density and fluidviscosity in the subsea jumper considered for CFD simulation.The simulation must be capable of modeling the structuralbehaviour in both the linear and non-linear regions, including largedisplacements, elasto-plastic deformations and associated plasticityeffects. The shell elements in the ANSYS element library generallysatisfy these criteria and can thus be used to model the steel plateelements of plate-stiffened panels. There are different types of shellelements available in this library. Shell 181 three-dimensional thinisoparametric quadrilateral elements with four nodes and six degreesof freedom per node are used to model the steel plate elements in thisstudy, as they are considered the most suitable for the proposed FEA.The following ANSYS Workbench 14.0 CFD and nonlinear FEAis used in this study to compute the collapse strength of the subseajumpers. Figure 5 shows the numerical modeling for the structural andfluid regions used in the ANSYS Workbench.For the CFD study, we use crude oil, which is the most likelyproduct to be transported in a subsea field. Details of the propertiesof this oil are listed in Tables 3 and 4. The ANSYS metal plasticitymodel is used in all of the structural analyses reported here. This modelimplements the von Mises yield surface to define isotropic yielding,associated plastic flow theory and either perfect plasticity or isotropicTable 2: Scenario selection.J Appl Mech EngISSN:2168-9873, an open access journalVolume 4 Issue 2 1000162

Citation: Seo JK, Kim DW, Bae SY (2015) Design Parameter Characteristics in a Subsea Rigid Jumper. J Appl Mech Eng 4: 162. doi:10.4172/21689873.1000162Page 4 of 6hardening behaviour. The finite element models incorporate pipelineyield stresses of 450 MPa. The elastic modulus and the Poisson ratio are300 GPA and 0.3, respectively.80DNV Fitting Curve70600Medium crude oilLocationHungo, AngolaDensity, kg/m3880Kinematic viscosities7.18 (62.5 C)5.77 (75.0 C)2.93 (100 C)150200Temperature ( oC)250DNV fitting Curve80DNV fitting Curve60FEADNV OS F1014020Velocity (m/s)46(b) Velocity vs. collapse pressureOutletInlet(b)Figure 6: Boundary conditions of a rigid jumper: (a) fluid region and (b)structural region.Collape Pressure (MPa)100All Fixed(a)100(a) Temperature vs. collapse pressureTable 3: Properties of crude oil.Roughness50100Collape Pressure (MPa)General informationTypeFEA Fitting Curve50Analysis Results and DiscussionTable 4 summarizes the collapse pressure computations obtainedwith the FE models and DNV code calculations. Figure 8 shows theresults of the analysis of the three variables in terms of collapse pressurevs. temperature, ovality and velocity, based on the computations of thepresent study and the DNV code. The DNV code, which was developedFEADNV OS F10190Collape Pressure (MPa)The boundary conditions are represented in Figure 6 for the CFDand FE analyses. To reduce the boundary effect on the flow analysis,dummy regions are defined at both ends of the piping models and theirlength is 10 times the pipe diameter. The CFD modeling of the pipeshould be allocated using a very fine mesh, based on the results of amesh convergence test. The structural analysis considers the effect ofde-rating values for the yield stress of C-Mn and duplex stainless steels,as shown in Figure 7.100DNV Fitting Curve8060FEA Fitting Curve4001Ovality (%)23(a) Ovality vs. collapse pressureFigure 8: Comparison between the collapse pressure in the present studyand DNV code.based on the principal dimensions and characteristic of pipeline, tendsto overestimate the values compared with the computations in thecurrent study.Figure 7: De-rating values for yield stress of C-Mn and duplex stainlesssteels [5].J Appl Mech EngISSN:2168-9873, an open access journalFigure 9 shows the results of the sensitivity analysis provided by theANSYS nonlinear FEA for the collapse pressure of the subsea jumperunder various operational conditions of temperature, ovality and fluidvelocity. It is clear that, as expected, temperature significantly reducesthe collapse pressure of the jumper compared with the variables ofvelocity and ovality. An analysis procedure for subsea jumper systemsis proposed and an applied example is suggested. The applied exampleinvolves a sensitivity analysis of the three variables of temperature,velocity and ovality. When temperature is predominant, ovality tendsto slightly overestimate the collapse strength of the jumper comparedwith velocity. These results suggest that the temperature of the pipelinefluid plays a significant role when ovality and velocity are predominant.Volume 4 Issue 2 1000162

Citation: Seo JK, Kim DW, Bae SY (2015) Design Parameter Characteristics in a Subsea Rigid Jumper. J Appl Mech Eng 4: 162. doi:10.4172/21689873.1000162Page 5 of 6Scn.Temp.( C)Ovality(%)Vel.(m/s)1159.562.794.16Collapse pressure (MPa)FEADNV58.6068.61Scn.Temp.( C)Ovality(%)Vel.(m/s)26183.570.634.48Collapse ble 4: Analysis results.Figure 9: Response surface of the collapse pressure in terms of velocity, temperature and ovality.J Appl Mech EngISSN:2168-9873, an open access journalVolume 4 Issue 2 1000162

Citation: Seo JK, Kim DW, Bae SY (2015) Design Parameter Characteristics in a Subsea Rigid Jumper. J Appl Mech Eng 4: 162. doi:10.4172/21689873.1000162Page 6 of 6Concluding RemarksReferencesThis paper presented the results of an investigation of the collapsestrength of subsea jumper pipe of varying shapes by consideringtemperature, ovality and internal fluid velocity. The FSI modellingtechnique used is this study, which incorporates all of the significantbehavioural effects that influence the thermal and geometricalcharacteristics of a jumper for operating, hydraulic and service fluids,was also described. Detailed numerical analyses were carried out in thisFEM-CFD-based parametric study with the aim of determining thesensitivity of design parameters to assist in making recommendationsfor an optimum jumper system. The results presented here onlyconsidered single-phase thermal flow. Thus, much future work isrequired to identify the effects of design variables in multiphase flowand the coupling effect of different fluids.1. Bai Y, Bai Q (2010) Subsea Engineering Handbook (1stedn.) Gulf ProfessionalPublishing, Amsterdam.J Appl Mech EngISSN:2168-9873, an open access journal2. Chica L, Pascali R, Jukes P, Qzturk B, Gamino M, et al. (2012) Detailed FSIanalysis methodology for subsea piping components, Proceedings of the ASME2012 31st International Conference on Ocean, Offshore and Arctic EngineeringOMAE 2012, July 1-6, 2012, Rio de Janeiro, Brazil.3. API RP 1111 (2011) Design, Construction, Operation and Maintenance ofOffshore Hydrocarbon Pipelines (Limit state design API recommended practice1111. (Fourth edition), American Petroleum Institute, Errata.4. DNV OS F101 (2010) Offshore Standard DNV-OS-F101, Submarine pipelinesystems. Det Norske Veritas.5. DNV RP F109 (2010) Recommended Practice DNV-RP-F109, On-bottomstability design of submarine pipelines, October 2010. Det Norske Veritas.6. ANSYS Inc (2012) ANSYS Help System. Version 14.5 [S].7. Ye KQ (1998) Orthogonal column Latin hyper cubes and their application incomputer experiments. J Am Statist Assoc 93: 1430-1439.Volume 4 Issue 2 1000162

Africa. DNV OS F101 [4] has mostly been used for deep-water projects in offshore Brazil and Europe. DNV OS F101 includes no limitations on water depth. However, when this standard is applied in deep water, for which experience is limited, special considerations must be made. The original collapse pressures listed in DNV OS F101 are only

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