预览加载中，请您耐心等待几秒...

基于叠前PP-PS波联合广义线性反演的弹性模量提取方法（英文）.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于叠前PP-PS波联合广义线性反演的弹性模量提取方法（英文） Title:ElasticModulusExtractionMethodBasedonJointPre-stackPP-PSWaveGeneralizedLinearInversion Abstract: Theaccurateestimationofelasticmodulusplaysacrucialroleinvariousgeotechnicalandgeologicalapplications,suchasresourceexploration,reservoircharacterization,andearthquakeengineering.Inthispaper,wepresentanovelmethodfortheextractionofelasticmodulususingajointpre-stackPP-PSwavegeneralizedlinearinversionframework.TheproposedmethodleveragesthecomplementaryinformationprovidedbyPPandPSwavestoimprovetheaccuracyoftheelasticmodulusestimation.Theoreticalbackground,dataacquisition,processingsteps,andnumericalexperimentsarediscussedtodemonstratetheeffectivenessandapplicabilityofthemethod. 1.Introduction Theelasticmodulusisafundamentalpropertythatcharacterizesthestiffnessanddeformationbehaviorofrocksandgeologicformations.Itsaccurateestimationisessentialforunderstandingthemechanicalpropertiesofreservoirs,predictionofrockbehaviorunderstress,andnaturalhazardassessment.Traditionalmethodsofelasticmodulusestimation,suchaslaboratorytestingandwelllogging,havelimitationsintermsofspatialcoverageandcost.Therefore,seismicinversiontechniqueshaveemergedasaviablealternativeforextractingelasticmodulusfromsubsurfaceseismicdata. 2.TheoreticalBackground Thissectionprovidesanoverviewoftheprinciplesandconceptsbehindthejointpre-stackPP-PSwavegeneralizedlinearinversionmethod.ItexplainsthefundamentalsofPPandPSwaves,theiramplitudeandphaseresponses,andthemathematicalformulationoftheinversionproblem.Thejointinversionapproachisintroduced,highlightinghowthePPandPSwavescanbecombinedtoenhancetheresolutionandreliabilityoftheelasticmodulusestimation. 3.DataAcquisitionandPreprocessing Thesuccessfulimplementationoftheproposedmethodreliesonhigh-qualityseismicdataacquisitionandappropriatepreprocessingsteps.Thissectiondiscussestheacquisitionparameters,acquisitiongeometries,andtheimportanceofproperdatapreprocessingtechniques,suchasnoiseremoval,waveletprocessing,andstaticcorrection. 4.Proc