输油管道网格建模：神经模糊监控系统(IJISA-V9-N10-1)

I.J.IntelligentSystemsandApplications,2017,10,1-11PublishedOnlineOctober2017inMECS()DOI:10.5815/ijisa.2017.10.01Copyright©2017MECSI.J.IntelligentSystemsandApplications,2017,10,1-11ModellingOilPipelinesGrid:Neuro-fuzzySupervisionSystemNaghamH.SaeedSchoolofComputingandEngineering,UniversityofWestLondon,London,W55RF,UK.E-mail:[e-mail]gDesignandPhysicalScience,BrunelUniversityLondon,UxbridgeUB83PH,UK.E-mail:[e-mail]:13April2017;Accepted:07July2017;Published:08October2017Abstract—Oneofthemajorchallengesforresearchersandgovernmentsacrosstheworldisreducingresources-wasteorloss.Resourceslosscanhappenifthereisnotacapablecontrolsystemthatcontributestoenvironmentalchange.Thespecificaimistocreateuser-friendlycontrolandmonitoringsystemtoreducethewasteinresources.NewArtificialintelligencetechniqueshavebeenintroducedtoplayanimportantpartindevelopingsuchsystems.Inoilfields,theoilisextractedthendistributedviaoilpipesuntilitreachestheendconsumer.Thisoperationwilloccurwithoutafullandcompletemonitoringfortheoilinthepipeline’sjourneytotheprovider.Although,theexistingoilfieldmonitoringsystemscancommunicatelocallybuttheywillnotsendinformationbacktothemainprovider.Thatmeanstheproviderisnotawareofthewholecircumstanceshappenedinthetransportationprocess.Thatgivestheprovidernocontrolontheprocess.Forexample,asuddendecisionfromthemainprovidertostoptransportingtoaspecificdestinationorknowingwheretheleakageisandwhichpipeisleakinginthepipelinesgrid.Thispaper,introducesforthefirst-timeoilfieldpipelineNeuro-fuzzy(NF)supervisionsystemusingSimscapesimulationsoftwarepackage.Thissystemcanbethefirststepsolutiontokeeprealtimecommunicationbetweenthemainproviderandtheoiltransportationprocessintheoilfieldsandenablestheprovidertohavefullsupervisionontheoilpipesgrid.Thesimulationsupervisionsystemillustratesaclearreal-timeoilfieldpipelinegridthatgivestheprovidertheabilitytocontrolandmonitorpipelinegridandprioritisetherecoveringprocess.Thetwoparametersselectedforcontrolandmonitoringwerevolumeandpressure.TheresultsinthispapershowfullcontrolfortheNFsupervisionsystemonthetransportationprocess.IndexTerms—Neuro-Fuzzycontrollers,controlandcommunicationsystem,modelling,Simscapemodels.I.INTRODUCTIONOilbecomesoneoftheessentialbasiccommoditiesneededfordailyactivitiesrangingfromdrivingcarstoindustrialactivities.Oilforanycountryistheeconomicfoundationandithasanextensivelistofapplicationssuchas;transportation,roadpaving,military,defence,heating,plasticsmaking,andelectricalgeneration[1].Alltheseapplicationsincreasetheoilmarketthereforethereisabigdemandforthatproduct.Thus,oilbecomesapproximatelyanexpensiveproduct.Evenrecentdropinoilpricesdidnotmakeitacheapresource[2].Therefore,controllingoiltransportationisanimportantprocessandanydamagetoapipeintheoilgirdwillcomewithahugecost.BritishPetroleum(BP)oilPlatformExplosionandoilGusherin2010and2015SantaBarbraoilSpillin2015[3]areverygoodtwoexamplesforthedamagethisprocesscanleadtoenvironmentallyandfinancially[4].Renewableenergyhasbeensuggestedtoreplaceoilandotherproducts[5]butuntilnowoilisstillthebackboneofthemajorapplications.Therefore,reliableandinnovativesolutionsforoilandgaswereintroduced[6]intheindustrywhichcanhelpinsafedetectingandmonitoring.Manyresearcheswereintroducedtoimprovetheoilpipelineefficiency[8]andmanagingrisks[9].Pipelinecanbeunderthethreatoftheftordamageespeciallyininsecurecountries,forexample,thethirdworldcountrysuchasIraq[10].Intheviewofthepreviousdiscussion,thesecurityissuewasraisedtoprotecttheoilproductionintheoilfieldsduringtransposition.Theproposedmonitoringandsecuritysystemscanbeanotherremarkablesolutionandcanplayakeyroleifitconsideredinthecasesmentionedbefore.Thesystemensurestheproducedoilwillreachitsdestinationwithminimumresultsofknownloss(thatincludesproduct,equipment,labouringandtime).Thesystemminimizesthedamageaccruedtopipelines,stopstheproblemfromdeveloping,andreducesdamagecostandtimelost.Itincludesrepairingandrecoveringtime.2ModellingOilPipelinesGrid:Neuro-fuzzySupervisionSystemCopyright©2017MECSI.J.IntelligentSystemsandApplications,2017,10,1-11Theresearchaimsare:Visualsimulationforoilpipelinestransmissiongrid,evaluateandanalysetheparameterseffectingoilpipelinestransmissiongridandcreateandevaluateAImonitoringandcontrollingsystem.Therestofthepaperisorganizedasfollows:sectionIIdedicatedforrelatedwork,sectionIIIshowingcleardiagramforthesystemanditsconcept,insectionIVdetailedexplanationforthemodellingproceduretocreatethephysicalandcontrolsubsystemsinSimscape.SectionVviewingthefinalOilPipelinesSupervisionSystemwhereassectionVIpresentsthesettingsandthesimulationresultsforanormalconditionwhilesectionVIIcontainsacomprehensivediscussionfortwodifferentcasestudytoprovetheeffectivenessofthesystem.Finally,insectionVIIIthefindingsweresummarizedandfutureworkwasprovided.II.RELATEDWORKTheoiltraditionalmonitoringsystemsavailabletodayrarelyhavethetwo-waycommunicationsinfrastructure[11]betweentheprovider,oilpipesgridandtheend