数字化矿山技术PPT课件

MineralResourceStatementforaTaconiteIronDepositConsideringDynamicAnisotropyFilipeS.Beretta,MiningEngineerMSc.MarkCampodonic,Jean-FranoisCouture,DominicChartier,1,.,Introduction,2,.,Introduction,3,.,Introduction,Twooptions:unfoldingordynamicanisotropy,4,.,DynamicAnisotropy,Thewireframesanglesareinterpolated;Assignedasanewvariabletoeachblock;Usedastheorientationforthesearchellipsoid.,5,.,DynamicAnisotropy,6,.,Casestudy,CenturyIronMinesCorporation(theClient):HayotLake(AttikamagenIronOreProperty)RainyLake(SunnyLakeIronOreProperty)JoyceLake(AttikamagenIronOreProperty),7,.,Casestudy,8,.,Resourcedatabase,RawstatisticsforFe,SiO2,Al2O3,P2O5,MnOandLOIsupportedtheselectionofthedomains.,124boreholes-23000m;5,000samples;Roughly500 x400mspacing;,9,.,Methodology,Databasevalidation;Geologicinterpretationandmodelling;Classicstatisticsandgeostatistics;Gradeestimationbyordinarykrigingwithdynamicanisotropy;Subsequentdatavalidation;andReportingaboveoptimisedpitshell.,10,.,Geologicalinterpretationandmodelling,11,.,Geologicalinterpretationandmodelling,12,.,Variography,VariogramParameters,13,.,SearchNeighbourhood,ParametersdefinedthroughQKNA,SearchVolume1=FeVariographyRangesMinimumof6samples;Maximumof25samples;Maximumof4samplesperdrillhole;,SearchVolume2=SV1Rangesx2Minimumof6samples;Maximumof25samples;Maximumof4samplesperdrillhole;,SearchVolume3=SV1Rangesx100Minimumof1sample;Maximumof25samples;Maximumof4samplesperdrillhole;,14,.,Estimationparameters,SummaryofBlocksEstimatedDuringEachEstimationPass,OrdinaryKriging;DynamicAnisotropytofitthevalueswiththegeologicalmodel;150azimuthrotatedblockmodelin(100 x100 x10m);Hardboundariesbetweensub-domains;,15,.,Validation,Visualcheck-GradeestimationandDynamicAnisotropyTechnique,16,.,Validation,MeangradescomparisonbetweenblocksandsamplesGLOBALVALIDATION,17,.,Validation,Fevalidationplots,18,.,Mineralresourcesclassification,AppliedMeasuredMineralResource:Nonreported;IndicatedMineralResource:Drillholesspacingat400by500metresorless.Blocksestimatedduringthefirstestimationrunwithaslopeofregressiongreaterthanorequalto0.6;InferredMineralResource:Blockswereestimatedusingatleast2drillholesandarelocatednotfartherthan500metresfromthelastdrillholeinalldirectionsandtoadepthnotexceeding250metresfromthebottomofthedrillholes;andUncategorized:Allremainingblocksinthemodel.,19,.,Mineralresourcesclassification,20,.,MineralresourcesclassificationOptimisation,21,.,Mineralresourcestatement,16Gt!,22,.,Conclusions,DynamicAnisotropyallowedarobustestimationandvalidationinashorterperiodoftimewhencomparedwiththeunfoldingtechnique.Consideringthegentlefolding,thevisualandstatisticalvalidationwereperformedwithagoodconfidence.Formoreseverelyfoldeddepositsand/orlargerdrillingspacing,theunfoldingprocessshouldbeusedinstead.,23,.,Conclusions,Theconfidenceingeologicalcontinuityoftheironmineralizationisconsideredasgood.Therefore,onthebasisofgeologicalcontinuityalone,IndicatedorInferredcategoriescanbereportedatthepresentdrillingspacing(400by500metres).Theconfidenceinthegeologicalcontinuitydeterioratesnearthecrossfaultandnearthemodelboundaries.Onthisbasis,moreinformationisrequiredontheseareastoprovideabetterdegreeofconfidence.Drillspacingof200by250metresisrequiredtodemonstrategeologicalandgradecontinuity,andtoimprovethevariogrammodels.Herewith,theclassificationcouldbeimprovedandMeasuredclasscouldbereported.,24,.