滩坝砂储层预测方法分析与应用

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1、ResearchofGeologicalPredictiononBeach-BarSandstoneReservoirZhangBao·zhen(GeophysicalProspectingandInformationTechnology)DirectedbyAssociate··ProfessorYangGuo-·quanAbstractNowitisahotspottoresearchthin-layerorthininterbed．Firstly,wehaveanalyzedthecharacteristicsintimedomainandfrequencydo

2、mainofthereflectioncoefficientofthin·layerintheory,andtriedtoanalysisnewmethodstodescribethesubsurfacegeologicstructuremuchmoretrulyandmeticulousofbeach—barsandstonereservoirinfrequenciesdomain．Thebasicideaoftime—frequencyanalysisistodesignthejointfunctionoftimeandfrequency，whichisusedt

3、odescribethedifferenttimesandfrequencyoftheenergydistributionthatcanmakethelocalcharacteristicsofthetime··frequencytwo--dimensionalplaneclearlydisplayed．ThisthesisstartsfromtheFouriertransformtoanalyzetheadvantagesandlimitations；thenwithallexampleofashort-timeFouriertransform，wavelettra

4、nsformandWigner-Villedistribution，theyaremoreclassicmethodsoftime-frequencyanalysis，buttherearesomeproblemsinpracticalapplication．Therecentemergedadaptivetime-frequencyanalysis，whichseparatesthesignalwithouttheconstraintsofHeisenberguncertaintyprinciple，haveagoodtimeandfrequencyresoluti

5、on，andhighnoiseimmunity．Hilbert-Huangtransformhasendsflyingwingphenomenon．Inordertosolvethisproblem，severalapproachestorestrainingtheendeffectwereproposed，andallhaveacertaindegreeofrestrainteffectinanalyingseismicdata．Matchingpursuitisanothermethodofadaptivetime—frequencyanalysis．Inthis

6、thesis，wefocusontheresearchofimprovingthecomputationalefficiencyofMPbyusingparticleswarmalgorithmandmultichannelmatchingpursuit．Throughmodelanalysis，theimprovedadaptivetime-frequencyanalysishavegoodtime—ffquencyperformanceandcarlaccuratelyshowthelocalcharacteristicsofthesignal．Basedonth

7、eadaptivetime—frequencyanalysis，wehaveanalyedseveralseismicpredictionmethods，suchasdividingsedimentarycycles，multiwaveletstheoryandspectraldecomposition．Allofthemethodshavebeenusedinbeach—barsandstone，withcomparisonllofmultipleattributionclusteringanalyses．Theresultsindicatedth