地面微地震资料处理方法的研究

地面微地震资料处理方法的研究

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时间:2019-02-26

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1、SurfacemicroseismicdataprocessingmethodresearchGuoXiaozhong(GeophysicalProspectingandInformationTechnology)DirectedbyProf.SongWeiqiAbstractMicroseismicmonitoring(seismicmonitoringofnosource)isamethodofmonitoringreservoirfluidmovementandtheeffectofhydraulicfracturing.Thedetectorsare

2、arrangedaroundthewaterinjeetionwellsandcontinuouslyrecordthesignalsoftheundergroundrockcrackingduetowaterinjcctionfracturing,oilandgasexplorationandotherfactors.Themainwaysofmicroseismicmonitoringhavetwowaysofdownholeandsurfacemonitoringtoday.ThesurfacemicroseismicmonitoringWasdeve

3、lopinglate.Becauseitismoreeconomicalandmorebroadofmonitoringrangethanthedownholemonitoring,thistechniquehasattractedawideinternalandforeignscholarsandexperts.Becausetheeffectivesignalenergyisweakforsurfacemicro-seismicdata,thereistheproblemoflowsignaltonoiseratio.Thenresearchingthe

4、methodofprocessingsurfacemicroseismicdata,hasgreatsignificancefortheapplicationandpopularizationofthesurfacemieroseismicmonitoring.Thispaperfirstlyanalysissurfacemicroseismicdata.Thenanalysisofthefrequencyandenergycharacteristicsoftheeffectivesignalofsurfacemicroseismicdata.Summary

5、classifyandanalysisthetypesofnoiseofsurfacemicroseismicdata.Laidasolidfoundationfort11enextstepoftheprocessingofimprovingsignaltonoiseratio.Studyandformulatetheroughlyflowofsurfacemicro-seismicprocessing.Introducedthesurfacemicroseismicacquisition,andpeoplehadaroughideaofsurfacemie

6、roseismicmonitoring.microseismicisgroundmonitoring,SOtraveltimeWasaffectedbytheundulatingsurface.Forsolvingthisproblem,usingtheobtainedinformation,formulatedstaticcorrectionmethodforsurfacemicroseismicmonitoring.Andstudiedcarefullythedetailsoffirstbreakpickingandtheestablishmentand

7、correctionofspeedmodel.Successfullyresolvedtheundulatingsurfacestaticsproblemandsucceededincreatingtheconditionsforthesubsequentde—noisingprocessing,andeffectivelyimprovesthesignaltonoiseratioofthemicroseismicdata.Fortheproblemofnoisepressingofthesurfacemicroseismicdata,basisonthep

8、reliminarydataanalysis,pro

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