油田數(shù)字化轉(zhuǎn)型及智能油田建設(shè)

油田數(shù)字化轉(zhuǎn)型及智能油田建設(shè)提綱1、老油田面臨的挑戰(zhàn)2、智能油田建設(shè)的技術(shù)實現(xiàn)3、成功經(jīng)驗4、行業(yè)數(shù)字化轉(zhuǎn)型最新趨勢01老油氣田面臨的主要挑戰(zhàn)——增儲上產(chǎn)、降本增效01智能油氣田建設(shè)的本質(zhì)—數(shù)據(jù)流動、模型優(yōu)化到?jīng)Q策支持監(jiān)測、診斷、優(yōu)化+人工智能提綱1、老油田面臨的挑戰(zhàn)2、智能油田建設(shè)的技術(shù)實現(xiàn)3、成功經(jīng)驗4、行業(yè)數(shù)字化轉(zhuǎn)型最新趨勢提綱1、老油田面臨的挑戰(zhàn)2、智能油田建設(shè)的技術(shù)實現(xiàn)3、成功經(jīng)驗4、行業(yè)數(shù)字化轉(zhuǎn)型最新趨勢提高產(chǎn)量(2%-7%)/提高采收率(5%-9%)降低作業(yè)成本(5%-20%)/提升HSE水平-減少現(xiàn)場活動KOC科威特國家石油關(guān)井時間減少到小時（對比原來2~3天）產(chǎn)量增加7%（對比項目前）維護(hù)時間減少了3/4（對比原來人工操作）避免生產(chǎn)損失一年內(nèi)節(jié)約了1千萬美元，頭六個月生產(chǎn)時間達(dá)到95%（原來預(yù)期65%）工程師的非生產(chǎn)時間減小了98%產(chǎn)量增加3~5%作業(yè)成本減少了15~20%減少流程執(zhí)行時間50~80%在展示層建立了全油田資產(chǎn)的數(shù)字模型KPI全生產(chǎn)關(guān)鍵指標(biāo)的質(zhì)量和效率驅(qū)動風(fēng)險識別和管理周期縮短了80%優(yōu)化后作業(yè)時間減少了20%Chevron雪弗龍Petrobras巴西石油ADNOC阿布扎比國家石油Anadarko03油公司的實施經(jīng)驗03ChevronAgbamii-field智能油氣田階段1A第一期-以投產(chǎn)要求為主要出發(fā)點第二期-針對生產(chǎn)優(yōu)化和生產(chǎn)規(guī)劃

階段1B第三期-針對油藏監(jiān)控的基礎(chǔ)工作流第四期-實時油藏管理業(yè)務(wù)階段1C針對地面設(shè)備的第5和6期提綱1、老油田面臨的挑戰(zhàn)2、智能油田建設(shè)的技術(shù)實現(xiàn)3、成功經(jīng)驗4、行業(yè)數(shù)字化轉(zhuǎn)型最新趨勢‘’IntegratedUpstream’’:MakingsurethatthefullspectrumofUpstreamservices(ExplorationtoProduction)isenabledbytheOSDUDataPlatform.‘’Realtimeasthestandard”:MakingsurethatanyamountofrealtimedatacanbehandledbytheOSDUDataPlatformandlinkedEdgefacilities.‘’SupportforEnd-to-Endservices’’:Supportingthecompletesupplychainforexisting(gas)andnewEnergysources.‘’AnymixtureofEnergysources”:Enableplatformreadinessforadoptingnewdatatypesandserviceinsupportnewbusinessdomains.04行業(yè)數(shù)字化轉(zhuǎn)型趨勢，開放共享的數(shù)據(jù)模型和平臺28OpenSubsurfaceDataUniverse?(OSDU)ForumScopeAllPublicCloudbasedAlldatafortheDataPlatformServicesloadedviatheDataIngestionServices

Extractmetadata/dataquality/etcWelldefined(RestFUL)APIsdefiningtheaccesstotheDataPlatformServicesApplications:(Micro)ServicesbasedInformationSecurity:CoveringallelementswithfocusatDataSecurityInCountrysolution:ForthosecountrieswhereweareunabletomovedataoutofthecountryandtherearenocloudservicesAswellsupportforlegacyapplicationsbasedonMSWindowsorLinuxDesktopsOSDUSystemofRecordUserInterface(HTML5)Workflow/OrchestrationservicesApplicationservices(Exploration/Development/Wells)ApplicationPlatformservices(CalculationServices/MetricsServices/UnitsofMeasure)DataPlatformServicesInfrastructurePlatformservicesInformationSecurityEndtoEndSupport&ManagementDataIngestionServicesInCountryInfrastructurePlatformservicesInCountryDataPlatformservicesAPIsNoncompetingCompetingOSDUDataPlatform:SingleDataPlatform(systemofrecord/insights)

API(standardinterfaceforaccessingthedata)OSDUR3++covers:Solar,WindfarmHydrogen,HydroGeoThermalPlannedfor2021/2022(production)OSDU:OpenEnergyDataPlatformOSDUR3covers:ExplorationDevelopmentWellsReleasedQ1-2021(production)OSDUR3+covers:UpstreamProductionDrillingPlannedforMid2021(production)OSDUroadmap:2021–2022

EngineeringintegratedwithOSDUApplicationsREALTIMEEngineeringDataPlatform(EDP):StructuresPiping&InstrumentationElectrical;Etc.FieldDevelopmentPlanTrading:PowerDigitalTwinArtificialIntelligenceImaging&InterpretationB2B/B2CEdge04行業(yè)數(shù)字化轉(zhuǎn)型趨勢，AI和大數(shù)據(jù)應(yīng)用

SchematicsChallengeHumanobservation:subjective&latedetectionMonitoringsoftware:RelyonaccurateandcostlyofflowmetersNeedadditionalsensorsSolutionDevelopedastatisticalanalysisbasedmethod:PhysicsmodelTimeseriestrendanalysisResultsSuccessfullydetecttherecordedkicksforclientdataFalsealarmratioislessthan8%AutomaticEarlyKickAlarmingReal-timeDrillingDataPhysicsbasedmodelingTime-seriesDataminingAI實例：早期井涌預(yù)警系統(tǒng)