M5-Facies-Modeling相建模(Schlumberger-petrel教学资料)

Module5PropertyModelingPetrelWorkflowTools3DGridConstructionStructuralGriddingStratigraphicModelingPillarGriddingWellLogUpscaleFacies&PetrophysicalModelingMakecontacts&VolumeCalculationIntrotoPetrelInterfaceWorkflowEditorPropertyModelingMakeHorizonsZones&Layering3DGridConstruction:StructuralModelingStudio3DGridConstructionStructuralFrameworkFaultModelingIntroductionSurfacesandDataeditFaciesModelingObjectivesGeneralPropertyModelingWorkflowDiscussDifferentFaciesModelingTechniques–Deterministictechniques–Stochastictechniques.LearnHowtouseCommonSettings:SetfiltersLearnHowtouseZoneSettings:DefinezonesLearnHowtousedifferentAlgorithms–SequentialIndicatorSimulation–ObjectModeling–Fluvialchannel–Generalobjectmodeling–InteractiveModeling.PropertyModelingGeneralWorkflowLessdataMoreuncertaintyMoredataLessuncertaintyDeterministicAddressedPixelbasedInterpolationEstimationObjectbasedStochasticStochasticvs.DeterministicModelingMethodsStochasticDeterministicRandom(Seednumber)Itisunlikelyduetounpredictablefactors.Itgeneratesdifferentequiprobableresultsfordifferentseednumbers.Itgeneratesthesameresultforagivensetofinitialconditions.Variablestatesaredescribedbyprobabilitydistributions.Variablestatesaredescribedbyuniquevalues.Itdoesnotneedupscaledcells:Unconditionalmodeling.Needupscaledcells;needsmoredata.Allowsmorecomplexityandvariabilityinthemodel;canhelpassessuncertainty.Fastertorun.AlgorithmsCoveredintheCourseStochasticmethodsDeterministicmethodPixelbasedtechniqueObject-basedtechniqueDirectaddressingtechniqueSequentialIndicatorSimulationalgorithmObjectmodelingalgorithmInteractivemodelingdrawingDistributesthepropertyusingthehistogram.Directionalsettings,suchasvariogramandtrends,alsoarehonored.Allowsyoutopopulateadiscretepropertymodelwithdifferentbodiesofvariousgeometries,faciestypes,rules,andfractions.Allowsyoutopaintfaciesdirectlyonthe3Dmodel.FaciesModelingDialogBoxTwomainmodelingsettingsbuttonsareavailable:(CommonandZonesettings).ZoneSettingsDefinessettingsforindividualzones(capturedfromModelspaneZonefilterfolder).CommonSettingsDefinesgeneralsettingsforthegridpropertiestobemadeforallzones.CommonSettingsUsefilter:Shouldbechosenonlyifafilteredpartofthegridistobemodeled.Ensurethatallcellsgetavalue:Ifthereisnoinputdata,allcellswillbepopulatedbyaveragingsurroundingcells.Overwrite:Willoverwritethepreviousrealizationswithsamesuffixnumber.Numberofrealizations:WhenrunningUncertaintyanalysis,multiplerealizationsaremadewiththesameinputdata.Localmodelupdate:Updatesthemodelinsidearegion,insideaproperty,oraroundawellZoneSettingsZone:Clicktoactivatezonation.Chooseazonetomodelfromdrop-downlist.Facies:Ifconditioningtoapreviousfaciesmodel,clicktheFaciesbutton.Method:Settheappropriatemethodfromthedrop-downlistforthezonetobemodeled.Lock:Leavezoneunchanged;unlocktoactivatezonesettings.CreateaSequentialIndicatorSimulationPropertyModel(1)1.Setanupscaledproperty:(U)assuffix.4.Choosethefaciesfromthetemplate.ClicktheBluearrowtoinsertthemintothemodel.SISisapixel-basedmodelingalgorithm,usingupscaledcellsasthebasisforfractionoffaciestypestobemodeled.Thevariogramconstrainsthedistributionandconnectednessofeachfacies.3.SetSISastheMethodforonezone.2.Choosethezonetomodelandunlockit.CreateaSequentialIndicatorSimulationPropertyModel(2)5.Variogram(2methods):•SpecifyRange,NuggetandTypemanually.•ClickGetavariogramfromDataAnalysis6.Fraction(3methods):•UseGlobalfractionfromUpscaledcells.•Useprobabilities(property/trend).•UseattributeprobabilitycurvesorverticalproportioncurvesfromDataanalysis.Variogram:QuantifiesSpatialContinuityoftheDataVerticalMajorVariogramiscalculatedin3directionsRangeSillNuggetSeparationdistance(lag)12345Variogram¶metersTherearemanyvariogramtypesthatcanbefitintothedata.Petrelprovidesthreeoptionsofprominenttypes:exponential,spherical,andgaussianvariograms.•Youneedthreedirections:Twointhehorizontal(majorandminor)andoneintheverticaldirection.•Therangepointsthedistancefromwhichabove,thespatialdependenceissettorandomness.•Theazimuthistherotationangleofthemajorrange.CreateaFluvialChannelModel(1):FaciesBodies6.Fraction(2methods):•UsefractionofChannelsandLeveesfromupscaledcells.(Grayfieldisnoteditable.)•Enterafraction.(Thewhitefieldiseditable.)TheObjectmodelingmethodusesupscaledcellsasabasisforthefractionoffaciestypestobemodeled.Theobjectsfollowastrictgeometry,distribution,andtrenddefinedbytheuser.1.Setanupscaledproperty:(U)assuffix.2.Setthezonetomodelandunlockit.3.SetObjectmodelingastheMethodtouse.4.ClicktheFluvialchannelsicontoinsertachannelbody.5.ChoosefaciespropertiestomatchChannelandLevee.CreateaFluvialChannelModel(2):GeometryChannel:Specifythewidthandthicknessofthechannel.Thicknesscanbeindistanceunitsorasafractionofthewidth.Levee:Leveesarethewingshapeddepositsonthesideofthechannel.Specifywidthandthickness(smallerthanchannel).Layout:SpecifyOrientation,AmplitudeandWavelength.Note:Driftappliesrandomnesstoeachparameter.CreateaFluvialChannelModel(3):TrendsandProbabilitiesUsevolumeprobability:•Useafunction•Useasurface•Usea3Dprobabilityproper