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Inaddition,itdatabyQuantitativeSeismicInterpretationSeismicdataanalysisisoneofthekeytechnologiesforcharacterizingreservoirsandmonitoring subsurfaceporefluidsTheauthorsprovideanintegratedmethodologyandpracticaltoolsforquantitativeinterpretation,uncertaintyassessment,and characterizationofsubsurfacereservoirsusingwell-logandseismicdataApplyingRockPhysicsToolstoReduceInterpretationRiskAuthors:ChristopherJauer Theyillustratetheadvantagesofthesenewmethodologies,whileprovidingadviceaboutlimitationsofthemethodsandtraditionalpitfallsQuantitativeSeismic Interpretation:ApplyingRockPhysicsToolstoReduceInterpretationRisk:ByPerAvseth,TapanMukerjiandGaryMavkoQSItoolsMatlabm-filesThe authorsprovideanintegratedmethodologyandpracticaltoolsforquantitativeinterpretation,uncertaintyassessmentCambridgeUniversityPressQuantitative SeismicInterpretation:ApplyingRockPhysicsToolstoReduceInterpretationRiskPerAvseth,TapanMukerjiandGaryMavkoCopyrightInformationThe ultimategoalistodetecthydrocarbonaccumulations,delineatetheirextent,andcalculatetheirvolumesQuantitativeSeismicInterpretationendeavourstobringupto-daterockphysicsmodels,themselvesbaseduponnumerousfieldandlaboratorydatasets,togetherwithgeologyandgeostatisticsintoasetofapplicationsand workflowswhichenablethereadertodevelopTheauthorsprovideanintegratedmethodologyandpracticaltoolsforquantitativeinterpretation,uncertainty assessment,andcharacterizationofsubsurfacereservoirsusingwell-logandseismicdataWedemonstratehowtoperformquantitativereservoirExpandAseismic attributeisaquantitativemeasureofaseismiccharacteristicofinterestamplitude,shape);thus,thewave-propagationeffectsmustbeincludedinanyquantitative interpretationattemptQuantitativeSeismicInterpretationKBredesenEJensenTJohansenPAvseth(Kb)IntroductionWehopethatthiscollectionofMatlab functionsandexampledatasetswillhelpthereadertounderstandandpracticethetechniquesdescribedinourbookQuantitativeSeismicInterpretation demonstrateshowrockphysicscanbeappliedtopredictreservoirparameters,suchaslithologiesandporefluids,fromseismicallyderivedattributes Demonstratinghowrockphysicscanbeappliedtopredictreservoirparameters,suchaslithologiesandporefluids,fromseismicallyderivedattributes,thisvolume providesanintegratedEngineering,GeologyExtractinginformationaboutreservoirqualityfromseismicdataisakeychallengeinexploration,appraisaland productionofhydrocarbonsAvseth,Mukerji,andMavkoQuantitativeSeismicInterpretationdemonstrateshowrockphysicscanbeappliedtopredictreservoir parameters,suchaslithologiesandporefluids,fromseismicallyderivedattributesTheintegrationofearlyQuantitativeSeismicInterpretation(QSI)intotheseismic interpretationprocessisoneofthemosteffectivemethodsforreducinguncertaintyinthelongtermQuantitativeSeismicInterpretationStanfordRockand GeomaterialsProjectIntegrateQSIWorkflowsEarlyintheG&GCycletoReduceUncertaintyBookTheresourcesareprovidedas-iswithoutanywarranties Analysisofattributeshasbeenintegraltoreflectionseismicinterpretationsincetheswhengeophysicistsstartedtopicktraveltimestocoherentreflectionson seismicfieldrecordsQuantitativeSeismicInterpretationTheyillustratetheadvantagesSeismicPetrophysicsinQuantitativeInterpretationiswrittenforoilandgas industryprofessionalsandacademicianswhoareconcernedwiththeuseofseismicdatainpetroleumexplorationandproductionConventionalseismic interpretationimpliespickingandtrackinglaterallyconsistentseismicreflectorsforthepurposeofmappinggeologicstructures,stratigraphyandreservoir architectureMoreinformationQuantitativeSeismicInterpretationIncontrast,wavelet-dependentseismicattributesdirectlydescribesomecharacteristicofthe seismictrace(egGeologicalSurveyofQuantitativeseismicinterpretationusinginverserockphysicsmodelling