Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis

Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis

ID:40402623

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时间:2019-08-01

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1、GEOPHYSICS,VOL.76,NO.3(MAY-JUNE2011);P.V25–V32,8FIGS.10.1190/1.3552706Simultaneousseismicdatadenoisingandreconstructionviamultichannelsingularspectrumanalysis11VicenteOropezaandMauricioSacchiintodifferentdomainsbyusingmethodssuchastheFourierABSTRACTtransform(

2、Sacchietal.,1998;Duijndametal.,1999;LiuandSacchi,2004),theRadontransform(Darche,1990;Tradetal.,Wepresentarankreductionalgorithmthatpermitssi-2002),andthecurvelettransform(HerrmannandHennenfent,multaneousreconstructionandrandomnoiseattenuationof2008).Anotherca

3、tegoryofmethodscaninterpolateregularlyseismicrecords.Webasedourtechniqueonmultichannelsampledtracesusingspatialpredictionfilters(Spitz,1991;singularspectrumanalysis(MSSA).ThetechniqueentailsAbmaandClaerbout,1995;Porsani,1999).Anextensionofpre-organizingspatial

4、dataatagiventemporalfrequencyintoadictionfilterinterpolationtoanirregulardistributionoftracesblockHankelmatrixthatinidealconditionsisamatrixofhasbeenproposedbyNaghizadehandSacchi(2007,2010).Inrankk,wherekisthenumberofplanewavesinthewin-general,mostseismicdatar

5、econstructionmethodsdonotdowofanalysis.Additivenoiseandmissingsampleswilladdresstheinterpolation/reconstructionprobleminthepresenceincreasetherankoftheblockHankelmatrixofthedata.ofnoise.Infact,denoisingandreconstructionareoftenconsid-Consequently,rankreductio

6、nisproposedasameanstoereddifferentproblemsandtreatedwithadiversearsenalofattenuatenoiseandrecovermissingtraces.Wepresentantools.iterativealgorithmthatresemblesseismicdatareconstruc-Theobjectiveofthispaperistopresentmultichannelsingulartionwiththemethodofproje

7、ctionontoconvexsets.Inspectrumanalysis(MSSA)asatoolforsimultaneouslydenois-addition,weproposetoadoptarandomizedsingularvalueingandreconstructingseismicdata.MSSAisadata-drivendecompositiontoacceleratetherankreductionstageofthetechniquethatarisesfromresearchona

8、lternativetoolsforthealgorithm.WeapplyMSSAreconstructiontosyntheticanalysisofmultichanneltimeseries.MSSAisanextensionofexamplesandafielddataset.Syntheticexamplesweresingularspectrumanalysi

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