简介:MostcurrentprestackAVAjointinversionmethodsarebasedontheexactZoeppritzequationanditsvariousapproximations.However,theseequationsonlyreflecttherelationbetweenreflectioncoefficients,incidenceangles,andelasticparametersoneithersideoftheinterface,whichmeansthatwave-propagationeffects,suchassphericalspreading,attenuation,transmissionloss,multiples,andeventmismatchingofP-andS-waves,arenotconsideredandcannotaccuratelydescribethetruepropagationcharacteristicsofseismicwaves.ConventionalAVAinversionmethodsrequirethatthesewave-propagationeffectshavebeenfullycorrectedorattenuatedbeforeinversionbuttheserequirementscanhardlybesatisfiedinpractice.Usingaone-dimensional(1D)earthmodel,thereflectivitymethodcansimulatethefullwavefieldresponseofseismicwaves.Therefore,weproposeanonlinearmulticomponentprestackAVAjointinversionmethodbasedonthevectorizedreflectivitymethod,whichusesafastnondominatedsortinggeneticalgorithm(NSGAII)tooptimizethenonlinearmultiobjectivefunctiontoestimatemultipleparameters,suchasP-wavevelocity,S-wavevelocity,anddensity.Thisapproachisrobustbecauseitcansimultaneouslycopewithmorethanoneobjectivefunctionwithoutintroducingweightcoefficients.Modeltestsprovetheeffectivenessoftheproposedinversionmethod.Basedontheinversionresults,wefindthatthenonlinearprestackAVAjointinversionusingthereflectivitymethodyieldsmoreaccurateinversionresultsthantheinversionbyusingtheexactZoeppritzequationwhenthewave-propagationeffectsoftransmissionlossandinternalmultiplesarenotcompletelycorrected.
简介:JointPP–PSinversionoffersbetteraccuracyandresolutionthanconventionalP-waveinversion.P-andS-waveelasticmodulideterminedthroughdatainversionsarekeyparametersforreservoirevaluationandfluidcharacterization.Inthispaper,startingwiththeexactZoeppritzequationthatrelatesP-andS-wavemoduli,acoefficientthatdescribesthereflectionsofP-andconvertedwavesisestablished.Thismethodeffectivelyavoidserrorintroducedbyapproximationsorindirectcalculations,thusimprovingtheaccuracyoftheinversionresults.Consideringthattheinversionproblemisill-posedandthattheforwardoperatorisnonlinear,priorconstraintsonthemodelparametersandmodifiedlow-frequencyconstraintsarealsointroducedtotheobjectivefunctiontomaketheproblemmoretractable.Thismodifiedobjectivefunctionissolvedovermanyiterationstocontinuouslyoptimizethebackgroundvaluesofthevelocityratio,whichincreasesthestabilityoftheinversionprocess.TestsofvariousmodelsshowthatthemethodeffectivelyimprovestheaccuracyandstabilityofextractingPandS-wavemodulifromunderdetermineddata.Thismethodcanbeappliedtoprovideinferencesforreservoirexplorationandfluidextraction.
简介:为了对降水微物理特征测量仪(PMCS)的测量性能进行评估,利用PMCS、激光雨滴谱仪(OTT)和雨量计(Gauge)在南京地区进行了降水对比观测实验,通过分析各仪器所测得的降水强度和累计降水量,研究了PMCS和OTT在不同降水强度条件下的尺度谱及其谱参数测量的差异性。结果表明:PMCS所测得的降水强度和累计降水量较OTT小,但更接近于Gauge所测得标准降水强度和累计降水量,3种仪器降水强度结果的相关性均在0.96以上。PMCS测得的谱均值、谱方差、雷达回波强度均小于OTT所测得结果,数密度均大于OTT所测得结果,两者所测得谱参数的变化趋势具有较好的一致性。在相同降水强度范围内,PMCS和OTT所测得的雨滴尺度谱分布趋势具有较好的一致性,在雨滴大尺度段,PMCS测得的雨滴数较OTT偏少,PMCS和OTT对于雨滴的捕获性能随着降水强度增加而增强,并在达到峰值后逐渐减弱。