Corrosion&Materials
Transcript of Corrosion&Materials
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AStatisticsApproachforthePredictionofCO 2CorrosioninMixedAcidGases
YuliPancaAsmara 1,MokhtarCheIsmail2
1DepartmentofMechanicalEngineering,UniversityofMataram
JlMajapahit12,Mataram,NTB,Indonesia
2DepartmentofMechanicalEngineering,UniversitiTeknologiPETRONAS
BandarSeriIskandar,31750Tronoh,Perak,MALAYSIAEmail:[email protected], [email protected]
Abstract
PredictingCO2corrosionisanimportantelementinCorrosionDesignBasis(CDB)whichdeterminesmaterialselectionandcorrosioncontrolstrategies.SinceCO2corrosionisamultispeciescorrosionmechanism,therearenumerouscorrosionpredictionmodelsdevelopedwithdifferentparameters.However,mostofthesepredictionmodelsdonotconsiderthecombinedeffectofmixedgasescontainingCO2,H2Sandaceticacid(HAc)whichlimitsthecorrosionpredictionscope.ThisstudyanalyzestheeffectsofmixedgasesbyusingElectronicCorrosionEngineer(ECE)corrosionpredictionsoftwarecombined
withaResponseSurfaceMethodology(RSM)statisticaltechnique.ECEpredictionshowsthatsimultaneouseffectsofmixedgasesbehavedifferentlyascomparedtotheindividualeffects.ContrastbehaviorwasobservedforH2Sasanindividualspeciesandasamixedspecies;corrosionratedependsonconcentrationlevelofH2S.HAcspeciesshowedasharperincreaseincorrosioninamixturethanalone.Thispreliminaryanalysisofmixedgaspredictionshowedmultiplemechanisms.Thus,complexinteractionsofmixedgasesmustbestudiedinmoredetailtoobtainanaccurateprediction.
1.Introduction
Predictingcorrosionbehaviorisacrucialissueinoilandgasproduction.Corrosionpredictionisoneofthetoolstomakedecisionsinselectingmaterial,formulatingguidelineforscheduledinspection,andmaintainingofthepipelinestructurefacilities.Damagetothepipeline
duetoacorrosionreactionmustbedetectedforavoidinglossofproductionandinvestment.Therefore,corrosioncontrolandmonitoringmethodsareimportanttopreventtheprematurefailureofindustrialfacilitiesandtoincreasesafety.
Indesigningacorrosionmodel,themodelmustbeconcernedwithparametersaffectingCO2corrosionasintherealcondition.Predictingmodelsshouldalsobecapableofprovidingreasonablygoodagreementbetweentheexperimentalobservedvaluesandtherealcondition.ManyCO2corrosionpredictionmodelsareproposedin
theindustry.Eachmodelisdesignedbasedoncertainmechanismsundercertaincircumstances.So,inordertocalculatecorrosioninoilandgasproductionenvironmentsaccurately,itwillbenecessarytodenethechemistryofoilandgasenvironmentandthemechanismofthecorrosionreaction.
IncorporatingtheroleofH2Sgasincorrosioncalculations
isimportantforthepredictionofCO2corrosion.Manyoftheoileldsaroundtheworldcontainthisgas.NaturalgasproducedinnorthernVenezuela,forexample,hasaH 2Scontentof25-80ppm.InotherplaceslikeBraziloffshore,GulfofMexico,Norway,andDenmark,haveH2Sintherangeof10ppm30ppm[1-3].
BesidesH2S,aceticacidalsoissuspectedforcontributingtocorrosionfailure.Shellrecordedacorrosionfailureduetopresenceofthisorganicacidinconcentrationrangesfrom150to700ppm.Afailurewasreportedina10inchproductionowlineinWytchFarmoileld(UK)wasalsoreporteddueto100mg/lacetate[4].
TheroleofH 2Selementalisbelievedtoinuencethecorrosionrate.ItwasfoundbyBrown[5]thatsmallconcentrationsofH2S(lessthan30ppm)inCO2,increasedthecorrosionratecomparedtosolutionwithoutH2S.However,corrosionratedecreasedwhenthecondition;H 2S(500ppm),pH(
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Table 2:Randomizationofcodedexperimentsandresultpredictions.
No.run Var1 Var2 Var3 Predct.
1 -1 -1 -1 1.8
2 1 -1 -1 3.2
3 -1 1 -1 1.7
4 1 1 -1 2.4
5 -1 -1 1 2.25
6 1 -1 1 3.4
7 -1 1 1 2.1
8 1 1 1 3.2
9 1.7 0 0 3.1
10 -1.7 0 0 0.9
11 0 1.7 0 3.5
12 0 -1.7 0 3.7
13 0 0 1.7 3
14 0 0 -1.7 2.4
15 0 0 0 2.8
3.ResultandDiscussion
A. Analysis of regression model
ThematrixexperimentaldesigntocalculatecorrosionmodelissummarizedintheTable2andtheresultsoftheANOVAaregivenintheTable3.Table3presentsthevariantanalysisofthepolynomialmodelregressionascalculatedbyMinitab[21].ItwasusedtotcorrosionbehaviorcalculatedbytheECEprogramsoftware.Thecalculationshowsthecoefcientdeterminations.Itrepresented95.9%oftheoverallcalculationwhichmeansthatthemodelisinerrorbyabout4%.
Table 3:Analysisofvarianceformodelregression.
Source DF Seq SS Adj SS Adj MS F P
Regression 9 8 .3 66 52 8 .3 66 52 0 .9 29 61 2 6. 50 0 .0 00
Linear 3 5 .5 30 70 5 .5 30 70 1 .8 43 57 5 2. 55 0. 00 0
Square 3 2 .7 24 88 2 .7 24 88 0 .9 08 29 2 5. 89 0 .0 00Interaction 3 0 .1 10 94 0 .1 10 94 0 .0 36 98 1 .0 5 0 .4 11
Residual Error 10 0.35085 0.35085 0.03509
Lack-of-Fit 5 0.35085 0.35085 0.07017
Total198.71737
Corr.rate(mm/y)=2.83223+0.587083*CO2-
0.115385*H2S+0.208273*HAc-
0.338661*CO2*CO+0.214973*H 2S*H2S-
0.0964461*HAc*HAc-0.0937500*CO 2*
H2S+0.0187500*CO 2*HAc+0.0687500*H 2S*HAc
R-Sq=95.98%
TheanalysisofcorrosionregressionwascarriedoutatCO2concentrations(0-10%mol),H2Sconcentrations(0.002-0.1%mol),andHAcconcentrations(150470ppm).TodeterminesignicanceeffectsofthemodelaF-testwasused.TheF-testisformulatedbycomparingbetweenmeansumsofsquaresofpredictedmodelswiththemeansumsofsquaresoferrorexperiments[19].Fromthevariantanalysis(Table3),itcanbeseenthatregressionmodelshavesignicantvaluesfor95%ofcondentlevel(p-value
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differentcomparedtoitsindividualeffect.Intheindividualeffects,H 2Satconcentrationsfrom0.001%molto0.01%decreasedthecorrosionrate.But,inthecombinedeffects,thisdecreasewasonlyataconcentrationof0.006%mol.AswithCO2,H2Salsohasacapabilitytoformlmswhichcanactasabarriertoirondissolution[22].ButthelmformedbyH2Sgas,atdifferentconcentrationshasdifferentproperties[23,24,25].MoredenselmsareformedatthelowerH2Sconcentration[23].Withaconcentrationmorethan0.006%molH2S,irondissolutioncontrolsthereactionratecausingcorrosionratetoincrease.Figure4showstheeffectsofHAconcorrosionrate.ThecombinedeffectofHAcandCO2at0.006%H2Soncorrosionrateindicatedapolynomialmodel.EffectsofHAcshowedanincreaseofcorrosionrateintherangeof100ppmto400ppm.Bothcombinedandindividualeffectsindicatedthesametrends.Somestudiescarriedoutinthepastareconsistentwiththeseresults[4,13,26].Theyrelatedthecorrosionratewithanincreaseiontherateofthecathodicreactionandwiththepropertiesofironacetate,whichwassoluble,permittingsubsequentcorrosion.
4.Conclusion
AccordingtotheECEsoftware,thecombinedeffectsof
variableshavechangedthecorrosionbehaviorcomparedtotheindividualeffects,especiallyforH2Sgas.H2Sgasalonereducedthecorrosionrateconsistently.But,inamixtureofgases,H2Sreducedthecorrosionrateinitially.Afterthatitincreasedthecorrosionrate.HAcdidnotchangethetrendofcorrosionrateduringexposuretime.HAcalwaysincreasedthecorrosionrateeitheraloneorincombinationwithotherenvironments.
TheappropriatenessofthemodelwasdiscussedandthemodelwasshowntopredictCO2corrosionprediction.ThepolynomialregressionmodelprovidedagoodagreementtothecorrosiondatacalculatedbyECE(96%condencelevelascalculatedbyRSM).Centralcompositedesignallowedamoreeconomicaldesignofexperimentsratherthantheuseofafullrandomizeddesign.Itreducednumberofexperimentssignicantly.Furthermore,theuseofRSMprovidedacontourplotwhichmakesiteasierto
analyzetheresultsoftwovariablessimultaneously.Achallengingrecommendationistobuildapredictionmodelinvolvingvariousmodicationsusingmoreparametersandusingotherregressionstatisticstechnique.However,suchapredictionmodelwouldstillneedtobeveriedandfurtherinterpreted.Actualdatafromrealserviceconditionsarerequiredforaccurateresults.
Acknowledgments
TheauthorsarethankfultoUniversitiTeknologiPETRONASforprovidinggrantandfacilitiesfortheresearch.
References
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[10] GarsaniinOmkarA.Nafday,FilmformationandCO2corrosioninthepresenceofaceticacid,MasterThesisofFritz.j.,DoloresandH.RussCollegeof
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[11] JoosteninOmkarA.Nafday,FilmformationandCO2corrosioninthepresenceofaceticacid,MasterThesisofFritz.j.,DoloresandH.RussCollegeofEngineeringandTechnology,OhioUniversity,2004.
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C. Combined Effect of CO2, HAc and H2S Calculated by ECE
EffectsofHAcandH2SadditiontotheCO2gasarepresentedinTable4below.ThecombinedeffectofHAcandH2Swastoincreasethecorrosionratefrom0.52mm/yto2.32mm/y.
Table 4:EffectofH 2SandhacinCO2corrosion.
CO2(%mol)
H2S(%mol)
HAc(ppm)
CR(mm/y)
5 0 0 0.52
5 0.006 0 0.5
5 0.006 300 2.22
5 0 300 2.32
D. Prediction of Corrosion rate calculated by RSM
Figures3and4belowaremodelsofthecombinationeffectofH2S,CO2,andHAconthecorrosionratecalculatedbyECE.ItshowsadifferenteffectcomparedtotheindividualeffectsasshowninFigure2.
Consideringsimultaneouseffectsofmixedgases,itseemsthatonlyH2Sgaveadifferenteffectcomparedtoitssoleeffect(Figure2).WhenH2SwasmixedwithHAcandCO2,H2Sshowedadifferentbehavior.Itreducedthecorrosionrate,initially,butataslightlyhigherconcentration(0.08%mol),itpromotedcorrosion.AlthoughthecombinedeffectsofH2SandHAcshowedasimilartrendcomparedwiththe
soleeffectofH 2S,.thecorrosionrateforthemixedgaseswaschanged.
AnalysisoftheinteractioneffectsofthosethreespeciesoncorrosionratearepresentedatFigure3.ThecalculationwasdoneusingtheECEsoftwaremodiedwithRSMstatisticsmethodology.TheprincipleimportanttoemphasizeisthatthepresenceofmixedspeciesinuencedcorrosionbehaviorasasshownbyFigure3,andCO2increasedcorrosionrateconsistently.However,atthehighconcentrationlevelofCO 2(10%mol),thecorrosionratewasdecreased.Comparedtotheindividualeffects(Figure2),therewasnosignicantdifference.Thus,itcanbeconcludedthatCO2wasadominantfactorindeterminingcorrosionbehavior[14,15,16].EffectsofH2Swereclearly
CathodicCorrosionProtectionofPre-CorrodedSteelinConcretewithGalvanicZincAnodes
H2S(%
mol)
C02 (% mol)
0.0112.5
C02 (% mol) = 7.51388H2S (% mol) = 0.0109649Corr rate (mm/y) = 3.41309
Corr rate(mm/y)
< 1.01.0 1.51.5 2.02.0 2.52.5 3.03.0 3.53.5 4.0
> 4.0Hold Values
HAc (ppm) 300
2.0 3.04.0
3.5
3.0
0.010
0.009
0.008
0.007
0.006
0.005
0.004
0.003
0.002
2 4 6 8 10
(a)
(a)
(b)
(b)
Figure 3:CombinationeffectsofCO2andH2ScalculatedbyECE presentedin2D(a)and3D(b)graphsshowcorrelationscorrosionratewithCO2,H2Sattemperature70C,HAc300ppmandtotalpressure1bar.(HACconcentrationatthemiddleofitslevel)
Figure 4:CombinationeffectsofHAcandCO2calculatedbyECE presentedin2D(a)and3D(b)graphshowcorrelationsofcorrosionratewithCO 2,attemperature70C,H 2S0.006%andtotalpressure1bar.(H2Sconcentrationatthemiddleofitslevel)
C02 (% mol)
H2S (% mol)
Corr rate (mm/y)4
3
2
1
04
812
0.000
0.004
0.008
0.012
C02 (% mol)
HAc (ppm)
Corr rate (mm/y)3
2
1
00
48
12100
200300
400
HA
c(ppm)
C02 (% mol)
450
400
350
300
250
200
150 2.51.5
C02 (% mol) = 8.21288H2S (% mol) = 436.880Corr rate (mm/y) = 3.35016
Corr rate(mm/y)
< 0.50.5 1.01.0 1.51.5 2.02.0 2.52.5 3.0
> 3.0
Hold ValuesH2S (% mol) 0.00615
2.0 3.0
1.0
2 4 6 8 10
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[14] GeorgeinOmkarA.Nafday,FilmformationandCO2corrosioninthepresenceofaceticacid,MasterThesisofFritz.j.,DoloresandH.RussCollegeofEngineeringandTechnology,OhioUniversity,2004.
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[19] Box,G.E.P.,Draper.N.R.,EmpiricalModelBuildingandResponseSurfaces,"JohnWileyandSons,NewYork,1987.
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[25] Agrawal,C.Durr,AndG.H.Koch,Suldelmsandcorrosionratesofaisi1018carbonsteelinsalinesolutionsinthepresenceofH2SandCO2,NACECorrosion Annual Conf., NACE International, Houston,
Texas,Paperno.04388,2004.
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CathodicCorrosionProtectionofPre-CorrodedSteelinConcretewithGalvanicZincAnodes
TheUseofAtomicForceMicroscopyinCorrosionResearch
B.Kinsella 1&T.Becker2
1WesternAustralianCorrosionResearchGroup,DepartmentofAppliedChemistry,
CurtinUniversityofTechnology,Australia
2NanochemistryResearchInstitute(NRI),CurtinUniversityofTechnology,Australia
Summary:Atomicforcemicroscopy(AFM),inventedin1986,hasfoundwidespreaduseinscience.Thetechniqueenablesimagingofmaterialatthemolecularlevelforthersttime.Unlikemostothermicroscopytechniques,theimagingcanbecarriedoutinsituwithoutfearofdestroyingtheintegrityoftheinter-phaseandtheprocessthatisbeingmeasured.TheapplicationofAFMtocorrosionscienceisshownbytwoexamples.Therstexampleconcernsthemechanismofadsorptionofcarbondioxidecorrosioninhibitors(surfactantmolecules)onsteel.Thesecondexampleinvolvesaninvestigationofthemechanismof
stresscorrosioncrackingofweldable13chromesteel.1.Introduction
AtomicForceMicroscopy(AFM)wasinventedin1986andcommercialinstrumentsbecamereadilyavailableintheearlynineties.Developmentofimprovedtechnologyandfriendlieruserapproachhasseenthetechniqueourishinmanyareasofscienticinvestigation.ThispaperprovidesadescriptionoftheAFMtechniqueandvariousmodesofoperationanditsapplicationtocorrosionresearch.Twoexamplesaregivenaninvestigationofthemechanismofadsorptionofcarbondioxidecorrosioninhibitorsandthemechanismofstresscorrosioncrackingofstainlesssteel.
2.ScanningProbeMicroscopy(SPM)
ScanningProbeMicroscopesallowresearcherstoinvestigatethetopographyofaspecimeningreatdetailwitharesolutiondowntotheatomiclevel.Thebasicprincipleof
thesemicroscopesisasharpprobethatispreciselyscannedacrossthesurfaceofthesample.Theprobeismovedusingascannertubemadeofpiezoelectricmaterialthatallowsaccuratepositioning.Typically,thescannertubeconsistsoftwoparts,oneforthelateralandonefortheverticalmovements.AnimportantadvantageofallSPMtechniquesistheabilitytobeusedinuidenvironments,enablingresearcherstostudysamplesin-situ,forexamplebiologicalspecimenortheformationofsurfactantlayersonasample.
2.1 Scanning Probe Microscopy (SPM)
In1981GerdBinnigandHeinrichRohreratIBM,Zurich,inventedthersttypeofanewkindofmicroscope,theScanningTunnelingMicroscope[STM](1).Fiveyearslater,in1986,theyreceivedtheNobelPrizefortheirdesignof
theScanningTunnelingMicroscope.TheSTMutilisesthequantum-mechanicaltunnelingeffect,whereasharptip(i.e.anetchedtungstenwire)isbroughtinclosecontactwithanelectricallyconductiveorsemi-conductivesample.Abiasvoltageisappliedbetweentipandsampleandforatip-sample(probe-sample)separationof