预览加载中,请您耐心等待几秒...
1/2
2/2

在线预览结束,喜欢就下载吧,查找使用更方便

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

基于非结构网格的三维大地电磁法有限内存拟牛顿反演研究(英文) Title:ResearchonLimitedMemoryQuasi-NewtonInversionofThree-DimensionalMagnetotelluricMethodbasedonUnstructuredGrids Abstract: Thethree-dimensionalmagnetotelluricmethod(MT)isawidelyusedgeophysicaltechniqueforexploringsubsurfaceelectricalresistivitydistributions.Inthisstudy,wefocusondevelopinganinversionalgorithmbasedonthelimitedmemoryquasi-Newtonmethodforsolvingthethree-dimensionalMTproblemusingunstructuredgrids.Theproposedalgorithmaimstoimprovetheefficiencyandaccuracyoftheinversionprocesscomparedtotraditionalapproaches.Throughnumericalexperiments,wedemonstratetheeffectivenessandapplicabilityofthealgorithm. 1.Introduction: Thethree-dimensionalMTmethodisapowerfulgeophysicaltoolforinvestigatingtheelectricalpropertiesoftheEarth'ssubsurface.Ithasbeenextensivelyusedinawiderangeofapplications,includingmineralexploration,groundwaterassessment,andhydrocarbonreservoircharacterization.However,theinversionprocessinthethree-dimensionalMTmethodiscomputationallydemandingduetothelarge-scaleandill-posednatureoftheproblem.Thispaperfocusesonthedevelopmentofanefficientandaccurateinversionalgorithmbasedonlimitedmemoryquasi-Newtonmethods. 2.Methodology: 2.1MathematicalFormulation: Wefirstintroducethemathematicalformulationofthethree-dimensionalMTmethod.Thegoverningequations,whichdescribetherelationshipbetweentheelectromagneticfieldsandthesubsurfaceresistivitydistribution,arepresented.Thecompleteforwardmodelingoperatorisderivedandexpressedinmatrixform. 2.2UnstructuredMeshGeneration: Toaddressthecomputationalchallengesassociatedwiththelarge-scalethree-dimensionalMTproblem,weadoptanunstructuredgridframework.Theadvantagesofusingunstructuredgrids,suchasflexibilityandadaptabilitytocomplexgeologicalstructures,arediscussed.Wepresenttheproceduresforgeneratingunstructuredmeshesbasedonthesubsurfacetopographyandtargetareaofinterest. 2.3InversionAlgorithm: Theproposedlimitedmemoryquasi-Newtoninversionalgorithmisdesignedtoefficientlyandaccuratelysolvethethree-dimensionalM